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      "ref": "jtrotman/scatter-plots-of-ip-over-time-per-channel-part-1",
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      "ref": "pranav84/talkingdata-with-breaking-bad-feature-engg",
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      "ref": "antmarakis/random-forest-base-validation",
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      "ref": "mintaeya/single-lgbm-lb-0-9692",
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      "ref": "skalskip/this-is-how-i-make-my-validation-set",
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      "ref": "aharless/validate-pranav-lgb-model",
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      "kernel_id": "777364"
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      "ref": "pranav84/single-xgboost-in-r-histogram-optimized-version",
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      "kernel_id": "776865"
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      "source": "live",
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      "kernel_id": "774406"
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      "ref": "samratp/talkingdata-basic-eda-using-sqlite-full-data",
      "title": "TalkingData Basic EDA Using SQLite [Full Data]",
      "source": "live",
      "kernel_id": "773579"
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      "ref": "valentinw/reducing-the-dataframe-size-by-55-in-few-seconds",
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      "kernel_id": "771835"
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      "ref": "tommao/kernel7924615e9e",
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      "source": "live",
      "kernel_id": "771415"
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      "ref": "bsukkala/edaforfraud",
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      "source": "live"
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      "source": "live",
      "kernel_id": "768456"
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      "kernel_id": "768106"
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      "ref": "shangkeyun/exploration-and-modelling",
      "title": "exploration and modelling",
      "source": "live",
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      "ref": "aharless/ceci-n-est-pas-un-m-lange",
      "title": "Ceci n'est pas un mélange",
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      "kernel_id": "766899"
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      "kernel_id": "766181"
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      "source": "live",
      "kernel_id": "765326"
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      "ref": "pranav84/half-measures",
      "title": "Half Measures ",
      "source": "live",
      "kernel_id": "764573"
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      "ref": "marcocarnini/feature-engineering-basic",
      "title": "Feature Engineering - Basic",
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      "kernel_id": "764464"
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    {
      "ref": "fursova/instant-downloads",
      "title": "Instant Downloads?",
      "source": "live",
      "kernel_id": "764286"
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      "ref": "charlesxin0302/psst-wanna-blend-some-more-and-more",
      "title": "Psst! Wanna blend some more and more????",
      "source": "live",
      "kernel_id": "764112"
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    {
      "ref": "marcocarnini/baseline-model",
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      "source": "live",
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    {
      "ref": "tantanchen/instant-downloads",
      "title": "Instant Downloads?",
      "source": "live",
      "kernel_id": "763471"
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      "kernel_id": "763019"
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    {
      "ref": "pappukrjha/understandingdata-featureextraction",
      "title": "UnderstandingData & FeatureExtraction",
      "source": "live",
      "kernel_id": "762676"
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    {
      "ref": "aharless/smallification",
      "title": "smallification",
      "source": "live",
      "kernel_id": "761691"
    },
    {
      "ref": "jpnewmenji/fraud-detection-exploratory-data-analysis",
      "title": "Fraud Detection Exploratory Data Analysis",
      "source": "live",
      "kernel_id": "759866"
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    {
      "ref": "nanomathias/feature-engineering-importance-testing",
      "title": "Feature Engineering & Importance Testing",
      "source": "live",
      "kernel_id": "759759"
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      "ref": "renewang/out-of-core-h2o-drf",
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      "kernel_id": "759525"
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    {
      "ref": "zahoorahmad/random-forest-mean-encoding-for-app-channel",
      "title": "Random Forest - mean encoding for app , channel",
      "source": "live",
      "kernel_id": "759320"
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    {
      "ref": "rteja1113/full-data-training-with-low-ram-support",
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      "source": "live",
      "kernel_id": "759270"
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    {
      "ref": "gopisaran/ensemble-of-2-ensembles-lb-0-9696",
      "title": "Ensemble of 2 Ensembles - LB : 0.9696",
      "source": "live",
      "kernel_id": "758493"
    },
    {
      "ref": "cpmpml/ip-download-rates",
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      "source": "live",
      "kernel_id": "758351"
    },
    {
      "ref": "alex5009/kernel715d04d507",
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      "source": "live",
      "kernel_id": "758271"
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    {
      "ref": "nicapotato/alexey-s-lightgbm-nick-mod-0-9683",
      "title": "Alexey's LightGBM  - Nick Mod - 0.9683",
      "source": "live",
      "kernel_id": "758041"
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    {
      "ref": "aharless/pranav-s-r-lightgbm-9683-version",
      "title": "Pranav's R LightGBM, 9683 version",
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      "kernel_id": "757967"
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    {
      "ref": "aharless/olivier-s-multi-process-ftrl-9619-version",
      "title": "Olivier's Multi Process FTRL , 9619 version",
      "source": "live",
      "kernel_id": "757751"
    },
    {
      "ref": "samehif/transactions-with-new-ips",
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      "source": "live",
      "kernel_id": "757490"
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      "kernel_id": "757305"
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      "kernel_id": "757295"
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      "kernel_id": "757223"
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    {
      "ref": "swamysm/fraud-detection-by-random-forest-dt-and-svm",
      "title": "Fraud Detection by Random Forest,DT and SVM",
      "source": "live",
      "kernel_id": "756939"
    },
    {
      "ref": "aharless/do-not-congratulate",
      "title": "DO NOT CONGRATULATE",
      "source": "live",
      "kernel_id": "755568"
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    {
      "ref": "tantanchen/forked-kernel",
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      "source": "live",
      "kernel_id": "755231"
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    {
      "ref": "anushah1411/talkingdata-adtracking-fraud-detection",
      "title": "TalkingData AdTracking Fraud Detection",
      "source": "live",
      "kernel_id": "755229"
    },
    {
      "ref": "pranav84/talkingdata-eda-to-model-evaluation-lb-0-9683",
      "title": "TalkingData: EDA to Model Evaluation | LB: 0.9683",
      "source": "live",
      "kernel_id": "754113"
    },
    {
      "ref": "submarineering/submarineering-average",
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      "source": "live",
      "kernel_id": "753241"
    },
    {
      "ref": "chuttipayanblr/famousfivekernel",
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      "source": "live",
      "kernel_id": "753016"
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    {
      "ref": "puremath86/lgbm-new-features-corrected-v2",
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      "source": "live",
      "kernel_id": "752649"
    },
    {
      "ref": "bsivavenu/simple-eda-on-talkingdata",
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      "source": "live",
      "kernel_id": "752075"
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    {
      "ref": "aharless/alexander-kireev-s-imbalanced-dl",
      "title": "Alexander Kireev's Imbalanced DL",
      "source": "live",
      "kernel_id": "751820"
    },
    {
      "ref": "gopisaran/adding-to-the-blender-lb-0-9690",
      "title": "Adding to the Blender - LB : 0.9690",
      "source": "live",
      "kernel_id": "751693"
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    {
      "ref": "yuliagm/be-careful-about-ips-as-a-signal",
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      "kernel_id": "751579"
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    {
      "ref": "gopisaran/selection-bias-train-sample-18-m-recs-lb-0-9680",
      "title": "Selection Bias Train Sample-18 M recs-LB: 0.9680",
      "source": "live",
      "kernel_id": "751560"
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    {
      "ref": "aharless/human-readable-date-time-compression",
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      "source": "live",
      "kernel_id": "751524"
    },
    {
      "ref": "gimunu/class-imbalance-improvements-by-split-and-penalty",
      "title": "Class imbalance: improvements by split and penalty",
      "source": "live",
      "kernel_id": "751471"
    },
    {
      "ref": "xinlian1201/ip-address-and-click-times-eda",
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      "source": "live",
      "kernel_id": "751377"
    },
    {
      "ref": "aharless/nooh-s-lgbm-smaller",
      "title": "Nooh's LGBM smaller",
      "source": "live",
      "kernel_id": "751173"
    },
    {
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      "source": "live",
      "kernel_id": "750792"
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    {
      "ref": "alexanderkireev/experiments-with-imbalance-nn-arch-9728",
      "title": "....[experiments with imbalance & nn arch; .9728]",
      "source": "live",
      "kernel_id": "749612"
    },
    {
      "ref": "aharless/old-and-new-ips",
      "title": "old and new ips",
      "source": "live",
      "kernel_id": "749005"
    },
    {
      "ref": "ricardotrindade/my-attempt-at-keras-talking-data-fraud",
      "title": "My attempt at Keras + Talking Data Fraud",
      "source": "live",
      "kernel_id": "748454"
    },
    {
      "ref": "prashantkikani/talkingdata-simple-blend",
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      "source": "live",
      "kernel_id": "748341"
    },
    {
      "ref": "nuhsikander/lgbm-new-features-corrected",
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      "source": "live",
      "kernel_id": "746653"
    },
    {
      "ref": "stevenknguyen/deep-learning-f1-score",
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      "source": "live",
      "kernel_id": "745983"
    },
    {
      "ref": "aharless/predicting-with-just-ip-ranges-as-coded",
      "title": "Predicting with just IP ranges (as coded)",
      "source": "live",
      "kernel_id": "745980"
    },
    {
      "ref": "aharless/alexander-kireev-s-dl",
      "title": "Alexander Kireev's DL",
      "source": "live",
      "kernel_id": "745786"
    },
    {
      "ref": "amitkumarjaiswal/lightgbm",
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      "source": "live",
      "kernel_id": "745466"
    },
    {
      "ref": "fizzbuzz/rank-averaging-on-talkingdata",
      "title": "Rank Averaging on TalkingData",
      "source": "live",
      "kernel_id": "744754"
    },
    {
      "ref": "alexanderkireev/deep-learning-support-9663",
      "title": "Deep learning support [.9663]",
      "source": "live",
      "kernel_id": "744581"
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    {
      "ref": "alexfir/mapping-between-test-supplement-csv-and-test-csv",
      "title": "Mapping between test_supplement.csv and test.csv",
      "source": "live",
      "kernel_id": "744361"
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      "ref": "thepathofd/naive-merge-test-and-test-supplement",
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      "source": "live",
      "kernel_id": "744152"
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      "ref": "aharless/lightgbm-smaller",
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      "source": "live",
      "kernel_id": "743737"
    },
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      "ref": "graf10a/lightgbm-lb-0-9675",
      "title": "LightGBM, LB: 0.9675",
      "source": "live",
      "kernel_id": "743483"
    },
    {
      "ref": "aminul01/ensemble-of-multiple-submission-files",
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      "source": "live",
      "kernel_id": "743435"
    },
    {
      "ref": "aharless/swetha-s-xgboost-revised",
      "title": "Swetha's XGBoost, revised",
      "source": "live",
      "kernel_id": "741360"
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    {
      "ref": "aharless/training-validation-pickle-with-attributed-time",
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      "source": "live",
      "kernel_id": "741103"
    },
    {
      "ref": "tunguz/psst-wanna-blend-some-more",
      "title": "Psst! Wanna blend some more????",
      "source": "live",
      "kernel_id": "740707"
    },
    {
      "ref": "merckel/anomaly-detection-using-tensorflow",
      "title": "Anomaly Detection Using Tensorflow",
      "source": "live",
      "kernel_id": "740558"
    },
    {
      "ref": "aharless/validation-ravi-s-lightgbm-with-public-private",
      "title": "Validation (Ravi's LightGBM) with public & private",
      "source": "live",
      "kernel_id": "740271"
    },
    {
      "ref": "mongxmongx2/kernel17ded40a0a",
      "title": "Kernel17ded40a0a",
      "source": "live",
      "kernel_id": "739576"
    },
    {
      "ref": "kunjanvyas/balanced-data-svm-linear-regression-random-forest",
      "title": "Balanced data:SVM,Linear regression,Random forest",
      "source": "live",
      "kernel_id": "739273"
    },
    {
      "ref": "aharless/validation-data-as-pandas-df",
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      "source": "live",
      "kernel_id": "738690"
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    {
      "ref": "abecadel/keras-nn-starter-9-415",
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      "source": "live",
      "kernel_id": "738644"
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      "ref": "aharless/validation-of-ravi-s-lightgbm",
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      "source": "live",
      "kernel_id": "738401"
    },
    {
      "ref": "kailex/data-table-xgb-0-968",
      "title": "data.table+xgb [0.968]",
      "source": "live",
      "kernel_id": "738357"
    },
    {
      "ref": "aharless/training-and-validation-data-pickle",
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      "source": "live",
      "kernel_id": "738201"
    },
    {
      "ref": "sergeyzlobin/wanna-blend",
      "title": "Psst! Wanna blend???",
      "source": "live",
      "kernel_id": "737884"
    },
    {
      "ref": "swethaboga/xgboost-approx-tree-method",
      "title": "XGBoost: Approx tree method",
      "source": "live",
      "kernel_id": "736751"
    },
    {
      "ref": "valentinw/eda-of-the-whole-dataset",
      "title": "EDA of the whole dataset ",
      "source": "live",
      "kernel_id": "736435"
    },
    {
      "ref": "azzion/talkingdata-fraud-detection-challenge",
      "title": "TalkingData - Fraud Detection Challenge",
      "source": "live",
      "kernel_id": "735939"
    },
    {
      "ref": "rteja1113/lightgbm-with-latest-data",
      "title": "Fork of LightGBM with count features dcafe2",
      "source": "live",
      "kernel_id": "735164"
    },
    {
      "ref": "aharless/training-and-validation-data",
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      "source": "live",
      "kernel_id": "735043"
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    {
      "ref": "jtrotman/eda-talkingdata-temporal-click-count-plots",
      "title": "EDA: TalkingData Temporal Click Count Plots",
      "source": "live",
      "kernel_id": "734308"
    },
    {
      "ref": "rteja1113/lightgbm-with-count-features",
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      "source": "live",
      "kernel_id": "734023"
    },
    {
      "ref": "anttip/talkingdata-wordbatch-fm-ftrl-lb-0-9769",
      "title": "TalkingData Wordbatch FM_FTRL LB:0.9769",
      "source": "live",
      "kernel_id": "732961"
    },
    {
      "ref": "aishanhang/lightgbm-second",
      "title": "lightGBM_second",
      "source": "live",
      "kernel_id": "732679"
    },
    {
      "ref": "aharless/jo-o-s-xgboost-with-memory-usage-enhancements",
      "title": "João's XGBoost with memory usage enhancements",
      "source": "live",
      "kernel_id": "731472"
    },
    {
      "ref": "ildara/fork-of-initial-ide",
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      "source": "live",
      "kernel_id": "731100"
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      "ref": "jiegzhan/xgboost-starter",
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