{
  "total": 387,
  "topics": [
    {
      "id": 94638,
      "title": "Leaderboard is Finalized, Congratulations to our Winners",
      "comment_count": 12,
      "views": 0,
      "votes": 13
    },
    {
      "id": 77239,
      "title": "Welcome to the LANL Earthquake Prediction Challenge!",
      "comment_count": 33,
      "views": 0,
      "votes": 43
    },
    {
      "id": 77526,
      "title": "Additional info",
      "comment_count": 112,
      "views": 0,
      "votes": 161
    },
    {
      "id": 77240,
      "title": "Pre-Trained Model / External Data Disclosure Thread",
      "comment_count": 14,
      "views": 0,
      "votes": 33
    },
    {
      "id": 77525,
      "title": "Introduction",
      "comment_count": 23,
      "views": 0,
      "votes": 109
    },
    {
      "id": 94390,
      "title": "1st place solution",
      "comment_count": 113,
      "views": 0,
      "votes": 213
    },
    {
      "id": 390570,
      "title": "Time Series Analysis",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 92726,
      "title": "LSTM",
      "comment_count": 18,
      "views": 0,
      "votes": 10
    },
    {
      "id": 89909,
      "title": "Good summary of XGBoost vs CatBoost vs LightGBM",
      "comment_count": 20,
      "views": 0,
      "votes": 100
    },
    {
      "id": 92300,
      "title": "Help! I could not load the LANL dataset in my kernel.",
      "comment_count": 22,
      "views": 0,
      "votes": 4
    },
    {
      "id": 78809,
      "title": "CV Strategy",
      "comment_count": 39,
      "views": 0,
      "votes": 34
    },
    {
      "id": 93047,
      "title": "Know these seismic waves signaling an earthquake",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 85350,
      "title": "Data Quality Concerns",
      "comment_count": 11,
      "views": 0,
      "votes": 24
    },
    {
      "id": 94316,
      "title": "My first medal",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 89884,
      "title": "Can you add modin package to load the data faster into pandas?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 120745,
      "title": "public LB",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 119648,
      "title": "11111",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 115854,
      "title": "new born baby of Kaggle",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115853,
      "title": "WHY?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 94364,
      "title": "Distribution of Earthquakes",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 90416,
      "title": "Differences in CV score when using XGBoost",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 102802,
      "title": "Public testing ground truth",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 94484,
      "title": "5th place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 24
    },
    {
      "id": 94396,
      "title": "Unconventional gold (16th place solution)",
      "comment_count": 12,
      "views": 0,
      "votes": 30
    },
    {
      "id": 94369,
      "title": "2nd place solution",
      "comment_count": 30,
      "views": 0,
      "votes": 89
    },
    {
      "id": 94459,
      "title": "3rd place memo",
      "comment_count": 14,
      "views": 0,
      "votes": 33
    },
    {
      "id": 94433,
      "title": "#6 Solution ",
      "comment_count": 16,
      "views": 0,
      "votes": 44
    },
    {
      "id": 96171,
      "title": "27th place Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 94407,
      "title": "7th solution, CPMP view",
      "comment_count": 62,
      "views": 0,
      "votes": 111
    },
    {
      "id": 91776,
      "title": "Earthquake melspectrogram images dataset",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94411,
      "title": "Disappointed by Kaggle",
      "comment_count": 79,
      "views": 0,
      "votes": 58
    },
    {
      "id": 94324,
      "title": "Congrats, and my 5 min lottery tickets (81th place/silver medal)",
      "comment_count": 22,
      "views": 0,
      "votes": 59
    },
    {
      "id": 94466,
      "title": "Top 10 - Solution - Giba and Amjad",
      "comment_count": 16,
      "views": 0,
      "votes": 53
    },
    {
      "id": 94500,
      "title": "12th place solution",
      "comment_count": 8,
      "views": 0,
      "votes": 17
    },
    {
      "id": 94556,
      "title": "15th Place Memo and CV Scheme",
      "comment_count": 9,
      "views": 0,
      "votes": 18
    },
    {
      "id": 95585,
      "title": "Visualization of LANL LBs",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 94569,
      "title": "Good models without test data",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 94503,
      "title": "Is this problem really machine-learnable?",
      "comment_count": 12,
      "views": 0,
      "votes": 13
    },
    {
      "id": 94479,
      "title": "Some fun stuff in shake-up",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 94363,
      "title": "11th place solution",
      "comment_count": 30,
      "views": 0,
      "votes": 48
    },
    {
      "id": 94303,
      "title": "Congrats to winners",
      "comment_count": 48,
      "views": 0,
      "votes": 48
    },
    {
      "id": 89607,
      "title": "Notes from a Related Paper",
      "comment_count": 12,
      "views": 0,
      "votes": 44
    },
    {
      "id": 94504,
      "title": "small vs big drop during shakeup",
      "comment_count": 15,
      "views": 0,
      "votes": 10
    },
    {
      "id": 94594,
      "title": "19th place solution (GBDT + post-processing)",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 94467,
      "title": "10th place solution (Amjad's view)",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 94559,
      "title": "CNNs would have worked...",
      "comment_count": 24,
      "views": 0,
      "votes": 14
    },
    {
      "id": 94446,
      "title": "My no-test-leak 23rd solution",
      "comment_count": 15,
      "views": 0,
      "votes": 35
    },
    {
      "id": 94570,
      "title": "87th place private and 1st place public solution",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 94361,
      "title": "Gold Medal Solutions",
      "comment_count": 7,
      "views": 0,
      "votes": 24
    },
    {
      "id": 94043,
      "title": "First place public LB explained",
      "comment_count": 32,
      "views": 0,
      "votes": 45
    },
    {
      "id": 94323,
      "title": "Thanks CPMP!",
      "comment_count": 17,
      "views": 0,
      "votes": 34
    },
    {
      "id": 94349,
      "title": "The pitfall of this tricky competition",
      "comment_count": 19,
      "views": 0,
      "votes": 22
    },
    {
      "id": 94359,
      "title": "Some elements of 7th place Solution",
      "comment_count": 25,
      "views": 0,
      "votes": 26
    },
    {
      "id": 94408,
      "title": "My bit of the 7th place solution (team ABC)",
      "comment_count": 11,
      "views": 0,
      "votes": 25
    },
    {
      "id": 94481,
      "title": "Some physics related features",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94352,
      "title": "Short summary for our approach (public 5th -> private 212th)",
      "comment_count": 12,
      "views": 0,
      "votes": 28
    },
    {
      "id": 94701,
      "title": "Public vs Private",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94718,
      "title": "8th solution. XGBoost and Dataset balancing",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 93911,
      "title": "The race for (overfitting) LANL",
      "comment_count": 18,
      "views": 0,
      "votes": 28
    },
    {
      "id": 94307,
      "title": "My favorite competitor is\"keita\".",
      "comment_count": 17,
      "views": 0,
      "votes": 10
    },
    {
      "id": 94807,
      "title": "what's the best score your NN based model got?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94903,
      "title": "22nd place solution described (molaee)",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 94888,
      "title": "Kernel of Winning solution ",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 94944,
      "title": "#194 solution",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 94435,
      "title": "Identifying batch start points",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 94845,
      "title": "One Feature, No ML, Gold Medal Range",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 94665,
      "title": "179th place / top 5% (not submitted) solution - first competition",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 94358,
      "title": "Useful lesson: simply generating lots of features isn't enough",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 94387,
      "title": "For all newbies and not so newbies",
      "comment_count": 8,
      "views": 0,
      "votes": 19
    },
    {
      "id": 94450,
      "title": "19-th place write up",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 94329,
      "title": "What has this competition achieved, for EQ science?",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 94086,
      "title": "Will this decide who wins?",
      "comment_count": 41,
      "views": 0,
      "votes": 19
    },
    {
      "id": 94305,
      "title": "Post your 'If Only...' stories here!",
      "comment_count": 26,
      "views": 0,
      "votes": 7
    },
    {
      "id": 94597,
      "title": "Hardware Recommendations",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94458,
      "title": "first competition thoughts",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94365,
      "title": "Our 35th place model ... (didn't submit)",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 94142,
      "title": "Waiting for the LEADERBOARD EARTHQUAKE ↓↑↓↑↓↑↓",
      "comment_count": 17,
      "views": 0,
      "votes": 19
    },
    {
      "id": 94609,
      "title": "9th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 94313,
      "title": "*My First Day submission have one of the higher scores*",
      "comment_count": 14,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94711,
      "title": "24th place single model (didn't submit)",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94422,
      "title": "Off topic",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 94452,
      "title": "I Told You So",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 94413,
      "title": "Kaggle/LANL can we have feedback?",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 93949,
      "title": "The parable of the Ox.",
      "comment_count": 26,
      "views": 0,
      "votes": 8
    },
    {
      "id": 94321,
      "title": "My one trick for feature selection/data augmentation (183rd place)",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 94355,
      "title": "Three Keys to this Competition",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 94197,
      "title": "Curious about how could some top competitors only have 3 to 5 submissions?",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 94194,
      "title": "Some safety measures",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 94351,
      "title": "The last minute analysis that kept us in silver medal contention",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94389,
      "title": "Private Leaderboard",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94377,
      "title": "Surprise!",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 94357,
      "title": "Data augmentation tricks",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 93908,
      "title": "No Feature Extraction Needed, Discrete Wavelet Transf. via CNN",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 94176,
      "title": "Final Submission",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 92679,
      "title": "No Magic",
      "comment_count": 96,
      "views": 0,
      "votes": 91
    },
    {
      "id": 94366,
      "title": "luckiest kaggler ever? best comeback?",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 94138,
      "title": "Choose which one for final submission?",
      "comment_count": 22,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94304,
      "title": "I was kicked out.",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94391,
      "title": "Missed Gold",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94341,
      "title": "Using Time since failure vs. Time to failure as evaluation criteria",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94315,
      "title": "Data Science !!",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 94657,
      "title": "fast.ai, a viable time series solution",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94354,
      "title": "What I learn this game.",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 94273,
      "title": "Increase in number of teams",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94325,
      "title": "Private LB 2.43622 kernel (Wavenet + LSTM)",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94590,
      "title": "Incorrect final submission used?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 93773,
      "title": "How good the final results will be",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 94156,
      "title": "Kaggle under heavy load",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94339,
      "title": "Exceptionally high single digit submission winners (40% ++)",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 94373,
      "title": "Beware what you wish for",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 93462,
      "title": "At least do it with finesse!",
      "comment_count": 38,
      "views": 0,
      "votes": 20
    },
    {
      "id": 94276,
      "title": "Good luck to all the teams",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 94193,
      "title": "Does anyone know how to prevent catboost generating many irrelevant output files?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94310,
      "title": "Hahaha, What a shake up !!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94374,
      "title": "Virtual LB 130th: Mel spectrogram feature + class balance simple solution",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 93966,
      "title": "HOW TO IMPROVE THE PROBLEM SETUP?",
      "comment_count": 21,
      "views": 0,
      "votes": 7
    },
    {
      "id": 94347,
      "title": "Show some solutions I wanna learn from Earthquakes ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 93498,
      "title": "LANL Adversarial Validation - Shakeup is Coming",
      "comment_count": 25,
      "views": 0,
      "votes": 17
    },
    {
      "id": 94311,
      "title": "What has made such a difference in leaderboard?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 93679,
      "title": "How to avoid shake up?",
      "comment_count": 28,
      "views": 0,
      "votes": 11
    },
    {
      "id": 94232,
      "title": "How to overfit public LB  with minimum submissions?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94344,
      "title": "LB seems to be finalized...congrats to all the winners",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 93906,
      "title": "Can I use pre calculate data when I submit the final work?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 94330,
      "title": "rolling rnn: single model-Private2.41174",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 94319,
      "title": "self-defeating blending",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 94317,
      "title": "Hard to build a learning model between the public and private LB! ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94312,
      "title": "The open leaderboard scores were so misleading.  ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 93203,
      "title": "Whats going to happen...",
      "comment_count": 34,
      "views": 0,
      "votes": 26
    },
    {
      "id": 93502,
      "title": "Shakeup (Phantom) Menace",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 93459,
      "title": "What about scipy.signal.welch?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 93622,
      "title": "Kaggle Pl. correct kernels spacing",
      "comment_count": 12,
      "views": 0,
      "votes": 9
    },
    {
      "id": 94115,
      "title": "Lightgbm num_threads",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 94033,
      "title": "Why my model fit well, but LB just get worse?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 93049,
      "title": "Worrying Trend",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 93574,
      "title": "Stupid question",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 93684,
      "title": "Limit of 5 competitors per team",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 93431,
      "title": "Confusion of the ensemble model",
      "comment_count": 12,
      "views": 0,
      "votes": -2
    },
    {
      "id": 93511,
      "title": "Prediction histogram",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 91328,
      "title": "Early stopping",
      "comment_count": 68,
      "views": 0,
      "votes": 52
    },
    {
      "id": 93769,
      "title": "A Zooniverse project on earthquakes",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 93520,
      "title": "Help!",
      "comment_count": 6,
      "views": 0,
      "votes": -1
    },
    {
      "id": 93325,
      "title": "Don't do this",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 93503,
      "title": "16 Earthquakes visualized from a different point of view",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 93451,
      "title": "Issues with my CNN ",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 93148,
      "title": "My Top 30 Features",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 93638,
      "title": "Question about merging",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 92367,
      "title": "Worst feature I found",
      "comment_count": 20,
      "views": 0,
      "votes": 14
    },
    {
      "id": 93626,
      "title": "more than 4194 samples?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 93100,
      "title": "Train and test are from p4677. ",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 90664,
      "title": "Are data from p4677 ?",
      "comment_count": 59,
      "views": 0,
      "votes": 57
    },
    {
      "id": 93162,
      "title": "WTTE-RNN",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 92492,
      "title": "How to select features",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 91602,
      "title": "Is your CV-publicLB correlation stable?",
      "comment_count": 19,
      "views": 0,
      "votes": 15
    },
    {
      "id": 92826,
      "title": "Just why, please explain ?",
      "comment_count": 22,
      "views": 0,
      "votes": 4
    },
    {
      "id": 93188,
      "title": "Non-linear relation b/w CV and LB :p",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 93129,
      "title": "Using XGB, better CV gets better LB, but LBG not, why?",
      "comment_count": 14,
      "views": 0,
      "votes": null
    },
    {
      "id": 93338,
      "title": "Loading Privately Uploaded Dataset",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 92440,
      "title": "MAE sucks",
      "comment_count": 29,
      "views": 0,
      "votes": 29
    },
    {
      "id": 93167,
      "title": "Why lgbm doesn't top rank this feature?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 92168,
      "title": "Looking for teammates to improve Conv1D model",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 92790,
      "title": "Paper in nature on *SIMILAR work",
      "comment_count": 10,
      "views": 0,
      "votes": 7
    },
    {
      "id": 93041,
      "title": "Hmm..",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 93025,
      "title": "Interesting feature for time series data",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 92580,
      "title": "lightgbm-inspired gradient boosting classifier/regressor is in sklearn v. 0.21",
      "comment_count": 14,
      "views": 0,
      "votes": 10
    },
    {
      "id": 91583,
      "title": "Public set time to failure distribution",
      "comment_count": 35,
      "views": 0,
      "votes": 36
    },
    {
      "id": 92990,
      "title": "Data slicing",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 93035,
      "title": "Data Corrupted?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 91298,
      "title": "Posting My Masters Project",
      "comment_count": 22,
      "views": 0,
      "votes": 95
    },
    {
      "id": 91125,
      "title": "Why models fail to predict TTF > 11 sec? ",
      "comment_count": 74,
      "views": 0,
      "votes": 24
    },
    {
      "id": 92564,
      "title": "Do you subtract the mean of signals before feature generation or not? why? ",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 90281,
      "title": "Don't Overfit! III",
      "comment_count": 73,
      "views": 0,
      "votes": 57
    },
    {
      "id": 90139,
      "title": "How Grandmasters are so good",
      "comment_count": 37,
      "views": 0,
      "votes": 17
    },
    {
      "id": 92197,
      "title": "Please Help me out . . .",
      "comment_count": 20,
      "views": 0,
      "votes": 4
    },
    {
      "id": 89366,
      "title": "Interesting insight from shuffling ?",
      "comment_count": 49,
      "views": 0,
      "votes": 54
    },
    {
      "id": 90838,
      "title": "LANL p4581 data is on Kaggle now",
      "comment_count": 18,
      "views": 0,
      "votes": 34
    },
    {
      "id": 92612,
      "title": "Fewer features have better performance in high TTF",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 92578,
      "title": "Why do we slit at 16 points eathquake?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 92272,
      "title": "The kernel appears to have died. It will restart automatically? Please help me...",
      "comment_count": 17,
      "views": 0,
      "votes": 3
    },
    {
      "id": 92593,
      "title": "failed to load train data onto kernel. why?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 90388,
      "title": "This Month's US FDA Proposal",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 92406,
      "title": "How to predict the extreme values?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 92212,
      "title": "What are the properties of a good CV strategy?",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 92432,
      "title": "Where are the gaps?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 91980,
      "title": "Looking for a team-up (single model score: CV: 1.996, LB 1.416)",
      "comment_count": 13,
      "views": 0,
      "votes": 6
    },
    {
      "id": 91333,
      "title": "Are CNN or RNN good enough?",
      "comment_count": 15,
      "views": 0,
      "votes": 6
    },
    {
      "id": 92012,
      "title": "How to Trust Your CV Score??",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 91820,
      "title": "Vanishing gradient?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 89994,
      "title": "LightGBM hyperparameter search",
      "comment_count": 15,
      "views": 0,
      "votes": 24
    },
    {
      "id": 92028,
      "title": "Why better CV get bad LB?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 92103,
      "title": "What is the mean of the public solution?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 91500,
      "title": "Quake-wise early stopping - leak explained",
      "comment_count": 16,
      "views": 0,
      "votes": 9
    },
    {
      "id": 90868,
      "title": "Kernel error - train.csv is not accessible. Please Fix it.",
      "comment_count": 12,
      "views": 0,
      "votes": 12
    },
    {
      "id": 92015,
      "title": "A problem from a beginner: How to turn hyperparameters since CV scores seem very different from LB scores?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 90163,
      "title": "What if we denoise the data?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 89429,
      "title": "Alpha lambda accuracy is a better metric",
      "comment_count": 7,
      "views": 0,
      "votes": 19
    },
    {
      "id": 91514,
      "title": "is there a general rule on training-validation loss gap?",
      "comment_count": 15,
      "views": 0,
      "votes": 11
    },
    {
      "id": 91252,
      "title": "Cross validation for Time Series data",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 91739,
      "title": "Not enough memory",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 91490,
      "title": "Oversampling and Data Augmentation",
      "comment_count": 18,
      "views": 0,
      "votes": 11
    },
    {
      "id": 91872,
      "title": "www.kaggleusercontent.com's response time is too long.",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 91864,
      "title": "Random Inputs",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 91726,
      "title": "Explaining difference between CV, CV shuffling and LB scores",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 90420,
      "title": "Are there really useful features in public kernels?",
      "comment_count": 27,
      "views": 0,
      "votes": 15
    },
    {
      "id": 84601,
      "title": "What is your best single model?",
      "comment_count": 153,
      "views": 0,
      "votes": 36
    },
    {
      "id": 91559,
      "title": "A question about train data",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 91408,
      "title": "Cloud computing",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 90568,
      "title": "LANL Participants – Maybe a Team? ",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 91572,
      "title": "Use msgpack to load/save data.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 91137,
      "title": "Skewed distribution",
      "comment_count": 12,
      "views": 0,
      "votes": 9
    },
    {
      "id": 91077,
      "title": "Simple performance improvement",
      "comment_count": 8,
      "views": 0,
      "votes": 21
    },
    {
      "id": 90990,
      "title": "Is the testing data sorted wrt time?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 91376,
      "title": "Working hard or balancing with relaxation moments?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 89824,
      "title": "Data property?",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 91585,
      "title": "convert json to csv",
      "comment_count": 1,
      "views": 0,
      "votes": -8
    },
    {
      "id": 89301,
      "title": "Different folds result in very different LB scores",
      "comment_count": 14,
      "views": 0,
      "votes": 21
    },
    {
      "id": 91214,
      "title": "Import scripts into notebook kernels is a great feature!",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 91382,
      "title": "Alignment of acoustic data with time_to_failure",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 87763,
      "title": "The answer is 2, not 42!",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 90880,
      "title": "Penn State Rock Mechanics Lab | Exp.4581",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 90791,
      "title": "I have generated ~2000 features and put them in an open dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 64
    },
    {
      "id": 91197,
      "title": "Questioning the physics of the data",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 90975,
      "title": "Attention based NN solution?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 90619,
      "title": "LANL Signal Denoising kernel",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 90973,
      "title": "Does being in master tier helps (relatively to the tiers below) to secure more points and have an overall better rank?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 90111,
      "title": "data augmentation is helpful.",
      "comment_count": 14,
      "views": 0,
      "votes": 8
    },
    {
      "id": 90565,
      "title": "KFold strategies",
      "comment_count": 16,
      "views": 0,
      "votes": 12
    },
    {
      "id": 90592,
      "title": "Is most of time information of not useful ?",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 90799,
      "title": "Are we exploring temporal bins deep enough?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 89542,
      "title": "Consensus regarding test set...",
      "comment_count": 14,
      "views": 0,
      "votes": 12
    },
    {
      "id": 90162,
      "title": "quite a few features",
      "comment_count": 15,
      "views": 0,
      "votes": 45
    },
    {
      "id": 90535,
      "title": "Is the seg_id hexadecimal expression of time order??",
      "comment_count": 22,
      "views": 0,
      "votes": 8
    },
    {
      "id": 89513,
      "title": "Simple way to boost your score ?",
      "comment_count": 36,
      "views": 0,
      "votes": 67
    },
    {
      "id": 90795,
      "title": "New signal features kernel",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 90444,
      "title": "Stratified KFolds",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 89979,
      "title": "New features?",
      "comment_count": 11,
      "views": 0,
      "votes": 17
    },
    {
      "id": 90419,
      "title": "Ensembling best practices for regression problems",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 90155,
      "title": "Time Serias Cross Validation",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 90385,
      "title": "Automated parameter tuning in a single line of code",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 82173,
      "title": "Graphical Representation of Data + Purpose",
      "comment_count": 8,
      "views": 0,
      "votes": 33
    },
    {
      "id": 90200,
      "title": "LANL Fresh EDA kernel",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 90330,
      "title": "LANL training data in .ft feather format",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 89951,
      "title": "Anyone tried bayesian or survival models?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 89766,
      "title": "Plots of the entire data",
      "comment_count": 2,
      "views": 0,
      "votes": 23
    },
    {
      "id": 90275,
      "title": "Looking for a team",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 90115,
      "title": "Variance related features and intensity distribuition",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 90072,
      "title": "Playing with the peaks",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 89328,
      "title": "Vectorizing those eartquakes",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 90123,
      "title": "PublicLB are evaluated based on only  13% of the test data.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 89447,
      "title": "[To Organizer] - Information Requested: Benchmark Model Score",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 89972,
      "title": "Segments of training data plotted separately",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 80250,
      "title": "A framework for fast feature extraction",
      "comment_count": 19,
      "views": 0,
      "votes": 116
    },
    {
      "id": 83746,
      "title": "Validation - splitting on earthquakes",
      "comment_count": 8,
      "views": 0,
      "votes": 32
    },
    {
      "id": 87949,
      "title": "Model Training is not Time Invariant. Future more predictable than the Past.",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 87928,
      "title": "Additional Reading and Experimental Setup",
      "comment_count": 3,
      "views": 0,
      "votes": 29
    },
    {
      "id": 89819,
      "title": "Total time of training set",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 89722,
      "title": "How do you determine your CV score?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 89496,
      "title": "What metrics would you consider to choose your final submission?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 89579,
      "title": "Best Practices for CV",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 89463,
      "title": "Will a failure occur within a test segments?",
      "comment_count": 17,
      "views": 0,
      "votes": 5
    },
    {
      "id": 89555,
      "title": "Step profile in time to failure",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 86530,
      "title": "The distribution of the test data",
      "comment_count": 11,
      "views": 0,
      "votes": 53
    },
    {
      "id": 89801,
      "title": "Does order matter ?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 84713,
      "title": "Why are deep learning models underperforming the xgboost based models?",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 89252,
      "title": "Resampling signal",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 89151,
      "title": "Inconsistent Sampling Times?",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 85108,
      "title": "Quick and dirty booster",
      "comment_count": 9,
      "views": 0,
      "votes": 10
    },
    {
      "id": 89424,
      "title": "Can not add train dataset to kaggle kernels",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 89280,
      "title": "Will the actual times for the test files eventually become available?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 88799,
      "title": "Test Set Too Small",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 77708,
      "title": "Maybe the time is not in seconds and we have 182 days of data?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 87651,
      "title": "Dumb but Important Question",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 86453,
      "title": "How to enhance generalization of RNNs ?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 81679,
      "title": "How to read test.zip files on the cloud / submit with kernels?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 86935,
      "title": "Code sharing",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 86839,
      "title": "Are there any good deep learning models that might fit for the prediction?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 87570,
      "title": "Any tips for new participant",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 80094,
      "title": "Time to failure offset to audio signal",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 87019,
      "title": "Anybody looking to Team Up?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 82256,
      "title": "Something I found in local CV loss and public loss about oversample",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 83790,
      "title": " How to get a gold medal",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 87942,
      "title": "Size of Training Data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 87157,
      "title": "Can you share your cv and lb? and lb & cv uncoincident",
      "comment_count": 16,
      "views": 0,
      "votes": 7
    },
    {
      "id": 87634,
      "title": "Window vs batch size ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 81294,
      "title": "looking for teammate",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 86818,
      "title": "Has anyone had success for using bandpower features?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 79471,
      "title": "Test set distribution significantly different from train set",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 82336,
      "title": "Earthquake in test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 85407,
      "title": "What does a value of 0 or 12 for acoustic_data mean?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 84890,
      "title": "LB saturation",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 86618,
      "title": "Could not request new notebook.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 78185,
      "title": "Here are some more videos and articles for the insatiables…",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 80099,
      "title": "洛斯阿拉莫斯國家實驗室，是美國承擔核子武器設計工作的兩個實驗室之一。這麼偉大的實驗室，現在正在研究地震預測。而我還遙遙領先它。",
      "comment_count": 1,
      "views": 0,
      "votes": -21
    },
    {
      "id": 86454,
      "title": "How to create a robust validation setup ?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 86458,
      "title": "Handling the gap in recordings",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 85093,
      "title": "Predicting when time to earthquake is long",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 83799,
      "title": "Predicting time to start of failure or end of failure ????",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 84504,
      "title": "Unable download dataset",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 82345,
      "title": "Sound of a lab quake",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 82462,
      "title": "CV/LB score",
      "comment_count": 16,
      "views": 0,
      "votes": 9
    },
    {
      "id": 83377,
      "title": "Reason for delay in extreme acoustic signal and ttf being 0",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 83820,
      "title": "Do you have any new model or any idea?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 83328,
      "title": "train CV scores are worse?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77546,
      "title": "How many features are you currently using?",
      "comment_count": 14,
      "views": 0,
      "votes": 11
    },
    {
      "id": 82510,
      "title": "The quakes seem to happen at about 0.315 time_to_failure value ",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 79625,
      "title": "Team",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 79998,
      "title": "Can't unzip the training data",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 78089,
      "title": "LSTM questions pertinent to this project",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 83212,
      "title": "I have not understood how this model works , and how to solve it",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 82032,
      "title": "Proper mode of tackling this problem?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 82696,
      "title": "NN regression: ReLU vs clipping?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 82293,
      "title": "About acoustic absolute values.",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 81947,
      "title": "Help This Poor Guy",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 82464,
      "title": "Signal Preprocessing? Noise Reduction",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 81964,
      "title": "Acoustic data units.",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 82311,
      "title": "My First EDA PUBLIC Kernel",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 81143,
      "title": "Earthquake Prediction Tutorial [Youtube Video 🔴]",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 82108,
      "title": "How to improve my MAE score ?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 81982,
      "title": "Could someone give an overview of the dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 81742,
      "title": "Difficulty to start R notebooks",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 80501,
      "title": "Test sets has no big time gaps?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 81308,
      "title": "How to make submission ???",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 81302,
      "title": "Could time to audio signal spikes be better predictable than time to earthquake event?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 81615,
      "title": "TIME_TO_FAILURE IS NOT 0!!!!!",
      "comment_count": 2,
      "views": 0,
      "votes": -7
    },
    {
      "id": 81567,
      "title": "my values are really close to 0. Why I get a 3.2 result??",
      "comment_count": 2,
      "views": 0,
      "votes": -8
    },
    {
      "id": 81619,
      "title": "WHIOUT THE REAL VALUES WE CANNOT VALIDATE DE MODEL THE ONES THAT ARE USING KERAS!!",
      "comment_count": 0,
      "views": 0,
      "votes": -10
    },
    {
      "id": 80825,
      "title": "Some really elementary questions",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 81559,
      "title": "Which is exactly the value that we have to predict 0 or what exactly?",
      "comment_count": 2,
      "views": 0,
      "votes": -7
    },
    {
      "id": 81553,
      "title": "I don't undertand the submission",
      "comment_count": 0,
      "views": 0,
      "votes": -7
    },
    {
      "id": 81040,
      "title": "IMPORTANT NOTICE: Kaggle Downtime",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 80612,
      "title": "Wavelet Transform in a Simulated Seismic Data.",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 80806,
      "title": "Different methods for iterating through test data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 80762,
      "title": "Fast data Reading based on different earthquakes",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 80190,
      "title": "Distribution of Time Between Earthquakes",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 80597,
      "title": "Data Direction",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 80531,
      "title": "Team",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 79247,
      "title": "How much overlap in creating training data?",
      "comment_count": 9,
      "views": 0,
      "votes": 27
    },
    {
      "id": 80247,
      "title": "Google Cloud Datalab - cannot read train.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 79566,
      "title": "Problem with train.csv.zip",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 80171,
      "title": "Air voltage signals for quake forecast in the real world",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 79640,
      "title": "literature",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 80112,
      "title": "My air voltage signals for quake forecast",
      "comment_count": 0,
      "views": 0,
      "votes": -5
    },
    {
      "id": 79673,
      "title": "350 models from 180 earthquakes.",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 79024,
      "title": "Adding people to your team",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 77267,
      "title": "Understanding Signal Data...",
      "comment_count": 19,
      "views": 0,
      "votes": 69
    },
    {
      "id": 78742,
      "title": "Friends this is a best explained LANL kernal",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 78394,
      "title": "RAM usage when loading data with pandas",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 79208,
      "title": "Read and save data by dask.dataframe",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 78478,
      "title": "For Andrew Lukyanenko",
      "comment_count": 12,
      "views": 0,
      "votes": 22
    },
    {
      "id": 78799,
      "title": "Sample size too small",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 78584,
      "title": "Another Signal Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 77984,
      "title": "Inconsistency in Training Data? Sampling rate vs. TimeToFailure",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 78229,
      "title": "The dangers of LB CLimbing",
      "comment_count": 16,
      "views": 0,
      "votes": 13
    },
    {
      "id": 78607,
      "title": "Kepler.gl/Eearthquake from Uber Open Plataform.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 78623,
      "title": "Fail to get good accuracy on time_failure",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 77548,
      "title": "Access Denied",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78498,
      "title": "RNN would be the first choice to solve this problem??",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 77945,
      "title": "Time Series ?",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 77350,
      "title": "ML Efforts from Los Alamos",
      "comment_count": 6,
      "views": 0,
      "votes": 31
    },
    {
      "id": 77551,
      "title": "What's LANL Benchmark on This Data?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 77992,
      "title": "How to split data (Data Leak) and some questions? ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 77811,
      "title": "Unable to open any kernels properly including mine",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 78112,
      "title": "Choosing validation set",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 77839,
      "title": "What is the reason kernel sometimes dies while loading data?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 78043,
      "title": "Is anyone using neural network based approach for this earthquake prediction problem?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 77970,
      "title": "What makes these forecasts useful?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78034,
      "title": "Global Monitoring Map",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 77390,
      "title": "Only 12 earthquakes?",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 77863,
      "title": "How Are the Problem-Makers Going to Assess the Quality of Forecasts?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77718,
      "title": "A Thought Regarding 4 MHz Sampling Rate",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 77437,
      "title": "Data Sample Rate?",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 77900,
      "title": "Language Use.",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 77292,
      "title": "Using dask to load chunks of the data into memory",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 77665,
      "title": "Acoustic data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 77730,
      "title": "Project type predictive maintenance and related links",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77654,
      "title": "Is anybody else experimented with FFT generated features?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 77608,
      "title": "How many rows are in train.csv?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77602,
      "title": "Sampling time",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77636,
      "title": "can you beat this?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77460,
      "title": "Does kaggle offer (free) computing?",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 77405,
      "title": "Need for increasing number of daily allowed submissions",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 77356,
      "title": "CV vs. LB Scores",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 77655,
      "title": "Are you using subsampling or derivative functions ?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77595,
      "title": "Dont load (all) of the data",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 77275,
      "title": "Reduce data size",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 77363,
      "title": "Splitting training data into sequences?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 77523,
      "title": "Acoustic and Time to Failure lab concept focus.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 77447,
      "title": "A simple question about the data files",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}