{
  "total": 226,
  "topics": [
    {
      "id": 55299,
      "title": "Welcome!",
      "comment_count": 57,
      "views": 0,
      "votes": 28
    },
    {
      "id": 55897,
      "title": "Official External Data Thread",
      "comment_count": 43,
      "views": 0,
      "votes": 11
    },
    {
      "id": 59880,
      "title": "\"Dance with Ensemble\" Sharing Thread",
      "comment_count": 92,
      "views": 0,
      "votes": 257
    },
    {
      "id": 59885,
      "title": "3 place solution",
      "comment_count": 29,
      "views": 0,
      "votes": 123
    },
    {
      "id": 57136,
      "title": "NAN in loss of Keras NN? help!",
      "comment_count": 18,
      "views": 0,
      "votes": 7
    },
    {
      "id": 55404,
      "title": "Predicting Clicks on Ads - paper from Facebook team",
      "comment_count": 1,
      "views": 0,
      "votes": 19
    },
    {
      "id": 58819,
      "title": "TFidfVectorizer: ngram_range",
      "comment_count": 10,
      "views": 0,
      "votes": 10
    },
    {
      "id": 56852,
      "title": "Kaggle kernel LightGBM gpu",
      "comment_count": 14,
      "views": 0,
      "votes": 3
    },
    {
      "id": 55521,
      "title": "Sample categorical feature encoding methods",
      "comment_count": 15,
      "views": 0,
      "votes": 18
    },
    {
      "id": 59871,
      "title": "second place solution",
      "comment_count": 52,
      "views": 0,
      "votes": 164
    },
    {
      "id": 55328,
      "title": "How to deal with Russian text features?",
      "comment_count": 23,
      "views": 0,
      "votes": 12
    },
    {
      "id": 93117,
      "title": "Failed to load the data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 92740,
      "title": "Overfitting Insights",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58338,
      "title": "Error while submitting the solution",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59104,
      "title": "Dense vs Sparse vs lightgbm.Dataset vs xgb.DMatrix. Could someone clarify some things?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 71326,
      "title": "Can I use the data for personal purpose?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57094,
      "title": "How can we specify categorical features in XGB without one-hot encoding?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59917,
      "title": "share my NN solution.",
      "comment_count": 13,
      "views": 0,
      "votes": 56
    },
    {
      "id": 58452,
      "title": "LightGBM on GPU kaggle kernel",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 67590,
      "title": "Running Kernels on Kaggle",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59886,
      "title": "The last gold solution",
      "comment_count": 19,
      "views": 0,
      "votes": 66
    },
    {
      "id": 66035,
      "title": "Master thesis: Survey companies about Kaggle competitions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59902,
      "title": "25th place solution",
      "comment_count": 20,
      "views": 0,
      "votes": 64
    },
    {
      "id": 65172,
      "title": "Notes from my submission",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59786,
      "title": "Vote of Thanks and Lessons Learnt",
      "comment_count": 18,
      "views": 0,
      "votes": 61
    },
    {
      "id": 56678,
      "title": "Ideas for Image Features",
      "comment_count": 19,
      "views": 0,
      "votes": 35
    },
    {
      "id": 58093,
      "title": "How long can a kernel run?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 62474,
      "title": "My First Kaggle Competition: A silver solution (83rd place)",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61186,
      "title": "Bronze solution with github link",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59914,
      "title": "5th place solution",
      "comment_count": 29,
      "views": 0,
      "votes": 71
    },
    {
      "id": 61307,
      "title": "Sharing my solution",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 60059,
      "title": "14th Place Solution: The Almost Golden Defenders",
      "comment_count": 7,
      "views": 0,
      "votes": 41
    },
    {
      "id": 60154,
      "title": "11th Solution Overview ",
      "comment_count": 6,
      "views": 0,
      "votes": 38
    },
    {
      "id": 59881,
      "title": "4th Place Solution",
      "comment_count": 31,
      "views": 0,
      "votes": 115
    },
    {
      "id": 60546,
      "title": "51st place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 60102,
      "title": "22nd place solution [Team NoVices]",
      "comment_count": 1,
      "views": 0,
      "votes": 21
    },
    {
      "id": 60026,
      "title": "7th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 33
    },
    {
      "id": 59959,
      "title": "A silver solution (31st place)",
      "comment_count": 9,
      "views": 0,
      "votes": 27
    },
    {
      "id": 59872,
      "title": "35th place: squeezing out the last -0.0011 RMSE",
      "comment_count": 21,
      "views": 0,
      "votes": 51
    },
    {
      "id": 59922,
      "title": "The way to the 18th place, just for rookies.",
      "comment_count": 7,
      "views": 0,
      "votes": 38
    },
    {
      "id": 59899,
      "title": "37th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 36
    },
    {
      "id": 59865,
      "title": "Good luck )) I hope in future we'll see many interest competitions, where different areas of Machine learning meet. It is very interest to work both with tabular data, natural language processing and computer vision problem at the same time",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 59876,
      "title": "Features around price-competitiveness of an ad.",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 59936,
      "title": "20th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 27
    },
    {
      "id": 59895,
      "title": "CV & Time-Series Split Target Encoding and some other codes",
      "comment_count": 2,
      "views": 0,
      "votes": 23
    },
    {
      "id": 59834,
      "title": "Celebrate my first kaggle journey ",
      "comment_count": 13,
      "views": 0,
      "votes": 25
    },
    {
      "id": 59850,
      "title": "Be Careful with Submission Selection",
      "comment_count": 2,
      "views": 0,
      "votes": 31
    },
    {
      "id": 60006,
      "title": "Our 30th Solution: In which our heroes tried Quantum Gravity, Adaptive Noise and other cool stuff…",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 59963,
      "title": "Optimal linear ensemble with LB RMSEs",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 60005,
      "title": "Place 40, tried to get something from train_active and test_active with DAE",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 59898,
      "title": "How Long is the Wait?",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59848,
      "title": "Good night and good luck",
      "comment_count": 20,
      "views": 0,
      "votes": 7
    },
    {
      "id": 59875,
      "title": "What a great comptetition to start the kaggle journey! ",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 59192,
      "title": "A gentle reminder",
      "comment_count": 19,
      "views": 0,
      "votes": 44
    },
    {
      "id": 59415,
      "title": "Boosting the scores beyond 0.221X",
      "comment_count": 14,
      "views": 0,
      "votes": 9
    },
    {
      "id": 59771,
      "title": "How to identify if model catches signals or noises from features?",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 59696,
      "title": "Is stacking working for you?",
      "comment_count": 22,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59893,
      "title": "Anyone found Pseudo-labeling useful for this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59728,
      "title": "Best NN score ？",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 59889,
      "title": "Public my image features script",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 59414,
      "title": "About image features & Image_top_1 features",
      "comment_count": 22,
      "views": 0,
      "votes": 6
    },
    {
      "id": 59894,
      "title": "How did you fill missing values ? ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59720,
      "title": "should do stacking early",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 59825,
      "title": "Slack is down",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59810,
      "title": "Winners or Overfitting?",
      "comment_count": 10,
      "views": 0,
      "votes": -2
    },
    {
      "id": 59756,
      "title": "Clipping deal probability. ",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59528,
      "title": "Rules on Blending",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 59688,
      "title": "Tomorrow is the last day?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59858,
      "title": "A question about original probability.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59835,
      "title": "why lgbm get better cv score when I do not specify which columns is categorical feature",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59790,
      "title": "Several questions on the method used",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59636,
      "title": "I faced problem to loading kernel any one face same???",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58920,
      "title": "An LGBM Objective change that might bring you significant improvement",
      "comment_count": 14,
      "views": 0,
      "votes": 24
    },
    {
      "id": 59507,
      "title": "Commit and run is getting failed no. of times",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58948,
      "title": "Deal Probability Strange Findings",
      "comment_count": 9,
      "views": 0,
      "votes": 30
    },
    {
      "id": 59446,
      "title": "Add more features,but score and CV not change",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 59251,
      "title": "Looking for teammate",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 59335,
      "title": "Xgboost!",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59385,
      "title": "I'm getting an error during submitting submission file.",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58741,
      "title": "Are image features helping",
      "comment_count": 19,
      "views": 0,
      "votes": 4
    },
    {
      "id": 59306,
      "title": "looking for teammates in a hurry!! ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59190,
      "title": "Looking for teammate",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 59236,
      "title": "Idea of using user_id columns",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58996,
      "title": "how do you create the validation set for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59015,
      "title": "Looking for teammates.",
      "comment_count": 22,
      "views": 0,
      "votes": 3
    },
    {
      "id": 58942,
      "title": "Any method to accelerate image feature extraction",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58918,
      "title": "How to find a important feature ?",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59129,
      "title": "Kernel log message and version comparison bug",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 58975,
      "title": "Some images in train_jpg throwing error when they are being fetched..",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 59041,
      "title": "could you share your lgbm paramter settings? ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 58725,
      "title": "Looking for a team (0.2195 LightGBM single models)",
      "comment_count": 23,
      "views": 0,
      "votes": 5
    },
    {
      "id": 59027,
      "title": "Looking for teammates.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 59007,
      "title": "Looking for a friendly teammate ",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59022,
      "title": "I wonder the limitation score without image features using lgb or nn",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 57085,
      "title": "Best Neural Network Model and structure",
      "comment_count": 61,
      "views": 0,
      "votes": 25
    },
    {
      "id": 58880,
      "title": "SVD: the concept",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 56816,
      "title": "Best single model",
      "comment_count": 250,
      "views": 0,
      "votes": 47
    },
    {
      "id": 58671,
      "title": "What's your strategy to fill na of prices?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 58930,
      "title": "Resources to learn stacking",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 58765,
      "title": "unpredictable keras and unreproducible results",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 56346,
      "title": "Validation strategy",
      "comment_count": 37,
      "views": 0,
      "votes": 29
    },
    {
      "id": 57034,
      "title": "Congratulations to Bojan for becoming Discussion Grandmaster",
      "comment_count": 37,
      "views": 0,
      "votes": 44
    },
    {
      "id": 58240,
      "title": "looking for teammate",
      "comment_count": 38,
      "views": 0,
      "votes": 6
    },
    {
      "id": 58705,
      "title": "Open position in our team",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58560,
      "title": "Do I need GPU or cloud computation?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 58674,
      "title": "New user_id feature?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58581,
      "title": "Looking for partners",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58377,
      "title": "Tuning final scores with several results, and about RMSE score",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 58146,
      "title": "looking for teammate",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 58595,
      "title": "teams at 6-21 maybe 1962",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 58552,
      "title": "Looking for teammate | Bringing text features",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58395,
      "title": "Mean Target Value (MTV) based feature engineering have performed better than one hot encoding (OHE). Any reason why?",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 58501,
      "title": "Issues with self-embedding",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57299,
      "title": "Attention Layer for NN ",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58346,
      "title": "How use activate_train and activate_test?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57410,
      "title": "Using the active data to train a price model",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 56605,
      "title": "Any advice to use train/test_active.csv?",
      "comment_count": 11,
      "views": 0,
      "votes": 9
    },
    {
      "id": 56531,
      "title": "Deal probability isn't what you think it is",
      "comment_count": 11,
      "views": 0,
      "votes": 38
    },
    {
      "id": 57792,
      "title": "What is your strategy to win?",
      "comment_count": 11,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58349,
      "title": "Most number of Features",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57852,
      "title": "DeViSE: Training text and images together",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 58232,
      "title": "TFIDF makes LGBM  worse?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 56418,
      "title": "Correct me if I'm wrong...",
      "comment_count": 6,
      "views": 0,
      "votes": 30
    },
    {
      "id": 57893,
      "title": "Four images in train data has zero size.",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 58133,
      "title": "Unable To Load Data From Other Kernels",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 58023,
      "title": "How to process",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57119,
      "title": "Top10 feature sharing",
      "comment_count": 17,
      "views": 0,
      "votes": 31
    },
    {
      "id": 56537,
      "title": "Time ads was active - periods_train.csv",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 57809,
      "title": "Need help with Wordbatch and FM_FTRL",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57570,
      "title": "Maybe you can try LDA...",
      "comment_count": 17,
      "views": 0,
      "votes": 13
    },
    {
      "id": 57510,
      "title": "Running KFOLD with RNN - For Beginners ",
      "comment_count": 6,
      "views": 0,
      "votes": 19
    },
    {
      "id": 57743,
      "title": "Why do this competition use deal_probability as a target?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57000,
      "title": "Difference Between Linear Regression and Gradient Boosting",
      "comment_count": 16,
      "views": 0,
      "votes": 12
    },
    {
      "id": 56631,
      "title": "Is kaggle competition all about blending ?",
      "comment_count": 31,
      "views": 0,
      "votes": 8
    },
    {
      "id": 57605,
      "title": "New Uer",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 57293,
      "title": "NN Embeddings - What Works and What Doesn't?",
      "comment_count": 10,
      "views": 0,
      "votes": 15
    },
    {
      "id": 57520,
      "title": "Planning to submit a research paper on this challenge",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57388,
      "title": "Image_top_1 possible explanation",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 56693,
      "title": "What does the field 'item_seq_number' mean ?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 57399,
      "title": "How many languages in the description field?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 57394,
      "title": "Want to discuss on how to process image features",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57473,
      "title": "Writing log file with Russian Characters",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57407,
      "title": "Why the range of embedding make so much difference ?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 57413,
      "title": "Score difference between local score and final score",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 56576,
      "title": "Good score by just using train.csv & test.csv?",
      "comment_count": 21,
      "views": 0,
      "votes": 3
    },
    {
      "id": 57246,
      "title": "how many image files are there in train_jpg.zip?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 57307,
      "title": "Exceeding Memory Limitations",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 57138,
      "title": "Alexa",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 56695,
      "title": "Using train_active to train text features",
      "comment_count": 7,
      "views": 0,
      "votes": 24
    },
    {
      "id": 57250,
      "title": "Boosting overfits by a great amount",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 55543,
      "title": "Bad Images",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 57086,
      "title": "user_id embedding woes",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 56986,
      "title": "Iteration cycles, Hyper-parameter tuning",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 56798,
      "title": "tfidf dense feature vs tfidf SVD component feature",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 57222,
      "title": "Russia City&Region Population",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57102,
      "title": "0.2276 - Keras RNN with FastText Embeddings - Starter - Much scope for Improvement",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 56915,
      "title": "LightGMB and categorical features - am I overfitting?",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55315,
      "title": "How to deal with image data?",
      "comment_count": 15,
      "views": 0,
      "votes": 15
    },
    {
      "id": 57163,
      "title": "What does the item_id in periods_train.csv mean?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 56897,
      "title": "tf-idf embeddings",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 57103,
      "title": "Best partial model (no periods, no active, no images)",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 56001,
      "title": "Open Solution Journal [LB 0.2248]",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 56930,
      "title": "Clean description",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 56626,
      "title": "Isotonic Regression",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 56550,
      "title": "How to handle FE with a train/val/test split?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 56729,
      "title": "whats the cost-efficient way to run this big GB data?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 56459,
      "title": "item_seq_number?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 56525,
      "title": "Pretrained word embeddings as text features",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 56079,
      "title": "image-top-1",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 56076,
      "title": "Is this really a CTR Prediction Challenge? ",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 56061,
      "title": "Russian [ods.ai] guys will smash the (top) LB ?",
      "comment_count": 22,
      "views": 0,
      "votes": 11
    },
    {
      "id": 56738,
      "title": "Question about Fork Notebook",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 56533,
      "title": "How the 'deal_probability' is calculated?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 56549,
      "title": "Negative predicted values with Light GBM",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 56463,
      "title": "What happened in 3-29 to 4-7?",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 56670,
      "title": "Loading VGG16 Features",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 56677,
      "title": "CPU 100% load",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55960,
      "title": "Looking for team mates",
      "comment_count": 44,
      "views": 0,
      "votes": 4
    },
    {
      "id": 56440,
      "title": "A bit funky",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 56315,
      "title": "Anyone looking for team?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 56595,
      "title": "user_id column in train mapped with item_id in periods_train",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 56465,
      "title": "Can I use pre-trained open source image recognition models?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 55432,
      "title": "File Structures/ Data types and #nulls",
      "comment_count": 5,
      "views": 0,
      "votes": 28
    },
    {
      "id": 56209,
      "title": "Is it all about text features and model tuning?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 56306,
      "title": "Can we expect test_active/train_active with image_top_1?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 55798,
      "title": "Historical weather data",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 56350,
      "title": "Ligthgbm with GPU support",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 56398,
      "title": "image_top_1",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 56355,
      "title": "Small dash shell to download data set",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 56408,
      "title": "How To Deal With Russian Language?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 56383,
      "title": "Kernels problem",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 55503,
      "title": "External Data Thread",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 56292,
      "title": "find returns for an ad ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 56117,
      "title": "How to extract feature from user_id",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 55822,
      "title": "LB with more digits?",
      "comment_count": 8,
      "views": 0,
      "votes": 15
    },
    {
      "id": 56132,
      "title": "Most Deal Probability happened for missing values",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 55778,
      "title": "Translation helper script for Titles and Descriptions",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 55981,
      "title": "How to go about training a model with images?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55922,
      "title": "Little confusion on verification of deal probability ",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 55630,
      "title": "Include both Region and City params or just one?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 55942,
      "title": "Master's Thesis",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 55819,
      "title": "image_top_1",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 55931,
      "title": "How to use text data and numerical data together as input features?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55535,
      "title": "Deal Probabilities",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 55439,
      "title": "Torrent",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 55326,
      "title": "Very important feature share with kaggler 0.233 lightgbm",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 55856,
      "title": "train active data significance",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 55898,
      "title": "Smaller zip files for train_jpg now available",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55762,
      "title": "Missing jpg file",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 55511,
      "title": "Russian language not being recognized in CSV and also by R! ",
      "comment_count": 12,
      "views": 0,
      "votes": null
    },
    {
      "id": 55436,
      "title": "Human annotation rules",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 55587,
      "title": "Validation Approaches",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 55512,
      "title": "Looking for team mates",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55652,
      "title": "Will deal_probability be published for test data?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 55491,
      "title": "Is knowing Russian an advantage here?",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55559,
      "title": "can kernel handles image data?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55391,
      "title": "Joining Text and numeric",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 55571,
      "title": "Kernel time limits?",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 55562,
      "title": "Why kaggle kernel can access network?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55411,
      "title": "Resolving Item ID errors for submission",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55471,
      "title": "Files checksum",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 55427,
      "title": "Can we Use Tensorflow kind of libraries here",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 55510,
      "title": "pkg_resources",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55455,
      "title": "Cyrillic alphabet to latin",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 55460,
      "title": "Random Forest Benchmark",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55452,
      "title": "Looking for a team/individual to team up",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}