{
  "capped": false,
  "live": 51,
  "meta": 54,
  "kernels": [
    {
      "ref": "josephguidi/2020-march-madness-data-first-look-eda",
      "title": "🏀 2020 March Madness Data - First Look EDA",
      "source": "live",
      "kernel_id": "36825082"
    },
    {
      "ref": "maxkang/business-analytics-and-applications-midterm-proj",
      "title": "Business Analytics and Applications - Midterm Proj",
      "source": "live",
      "kernel_id": "16177970"
    },
    {
      "ref": "akashsuper2000/the-march-madness",
      "title": "The March Madness ",
      "source": "live",
      "kernel_id": "9208065"
    },
    {
      "ref": "akashsuper2000/basketball-the-eda",
      "title": "BasketBall: The EDA",
      "source": "live",
      "kernel_id": "9207979"
    },
    {
      "ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy",
      "title": "Basketball 2020: vectors-feature engg.-Strategy",
      "source": "live",
      "kernel_id": "9194709"
    },
    {
      "ref": "mika30/madness-at-home-and-on-the-court-part-2",
      "title": "Madness at Home and on the Court - Part 2",
      "source": "live",
      "kernel_id": "8931218"
    },
    {
      "ref": "catadanna/ml-competition-2020-ncaaw-my-solution",
      "title": "ML Competition 2020-NCAAW - My Solution",
      "source": "live",
      "kernel_id": "8406213"
    },
    {
      "ref": "byfone/ncaa-w-linear-regression",
      "title": "NCAA W | Linear Regression",
      "source": "live",
      "kernel_id": "8385417"
    },
    {
      "ref": "jeansvy/2020-march-madness-ncaaw-feature-engineering",
      "title": "2020 March Madness - NCAAW - Feature engineering",
      "source": "live",
      "kernel_id": "8339090"
    },
    {
      "ref": "miklgr500/keras-nn-ncaaw",
      "title": "Keras NN NCAAW",
      "source": "live",
      "kernel_id": "8332826"
    },
    {
      "ref": "jagannathrk/2020-march-madness-analytics",
      "title": "🏀 2020 March Madness Analytics",
      "source": "live",
      "kernel_id": "8321339"
    },
    {
      "ref": "mrboupp/first-submission-using-lightgbm",
      "title": "First Submission using Lightgbm",
      "source": "live",
      "kernel_id": "8315903"
    },
    {
      "ref": "vbmokin/mm-ncaaw-lgb-xgb-regr",
      "title": "MM NCAAW - LGB, XGB & Regr",
      "source": "live",
      "kernel_id": "8310908"
    },
    {
      "ref": "miklgr500/bayesian-neural-network-in-keras-ncaaw",
      "title": "Bayesian Neural Network in Keras NCAAW",
      "source": "live",
      "kernel_id": "8303877"
    },
    {
      "ref": "mrboupp/eda-for-ncaaw20",
      "title": "EDA for NCAAW20",
      "source": "live",
      "kernel_id": "8287127"
    },
    {
      "ref": "anushakarthik1991/exploratory-analysis-lgb-ncaa-march-madness",
      "title": "Exploratory Analysis + LGB NCAA march madness",
      "source": "live",
      "kernel_id": "8277500"
    },
    {
      "ref": "kamalnaithani/ncaa-w-no-leaks-simple-random-forest-model",
      "title": "NCAA W (No Leaks) Simple Random Forest Model",
      "source": "live",
      "kernel_id": "8249926"
    },
    {
      "ref": "jtrotman/blend-ncaaw-with-2020-vision",
      "title": "Blend NCAAW with 2020 Vision",
      "source": "live",
      "kernel_id": "8241551"
    },
    {
      "ref": "tnmasui/ncaaw-2020-lgb-w-fe-on-three-datasets",
      "title": "NCAAW 2020 - LGB w/ FE on three Datasets",
      "source": "live",
      "kernel_id": "8212330"
    },
    {
      "ref": "omniactio/logistic-regression-with-2018-2019-lb-comparison",
      "title": "Logistic Regression with 2018-2019 LB Comparison",
      "source": "live",
      "kernel_id": "8196121"
    },
    {
      "ref": "darwinwin/ncaaw2020-lightgbm-k-fold-on-fire-viz",
      "title": "[NCAAW2020] LightGBM: K-fold on Fire (Viz)",
      "source": "live",
      "kernel_id": "8192807"
    },
    {
      "ref": "darwinwin/ncaaw20-eda-and-nn-lgb-catb-starter-7c65f8",
      "title": "[NCAAW20] EDA and NN+LGB+CatB starter 7c65f8",
      "source": "live",
      "kernel_id": "8192805"
    },
    {
      "ref": "corochann/2020-ncaaw-fast-data-loading-with-feather",
      "title": "2020 NCAAW: Fast data loading with feather",
      "source": "live",
      "kernel_id": "8192351"
    },
    {
      "ref": "darwinwin/ncaaw20-eda-and-nn-lgb-catb-starter",
      "title": "[NCAAW20] EDA and NN+LGB+CatB starter",
      "source": "live",
      "kernel_id": "8191645"
    },
    {
      "ref": "jaseziv83/applying-pythagorean-expectation-to-major-sports",
      "title": "Applying Pythagorean Expectation to Major Sports",
      "source": "live",
      "kernel_id": "8186773"
    },
    {
      "ref": "scirpus/last-year-plus-mens-gp",
      "title": "Last Year plus mens GP",
      "source": "live",
      "kernel_id": "8178582"
    },
    {
      "ref": "christoffer/simple-k-optimized-elo-model-ncaaw",
      "title": "Simple k-optimized Elo model (NCAAW)",
      "source": "live",
      "kernel_id": "8167258"
    },
    {
      "ref": "viki98/statistiques-descriptives-ncaaw",
      "title": "Statistiques Descriptives NCAAW",
      "source": "live",
      "kernel_id": "8131032"
    },
    {
      "ref": "worldkeeping/explore-leakage-fix-validation-and-lb-scores",
      "title": "Explore leakage & fix validation and LB scores",
      "source": "live",
      "kernel_id": "8108797"
    },
    {
      "ref": "johnt666/no-leaks-what-do-you-think",
      "title": "No leaks, What do you think?",
      "source": "live",
      "kernel_id": "8094832"
    },
    {
      "ref": "turksoyomer/first-look-on-teams-and-cities",
      "title": "First Look on Teams and Cities",
      "source": "live",
      "kernel_id": "8089912"
    },
    {
      "ref": "takaishikawa/no-ml-modeling-ncaaw2020",
      "title": "No ML Modeling - NCAAW2020",
      "source": "live",
      "kernel_id": "8087017"
    },
    {
      "ref": "code1110/ncaaw20-finally-no-leak-starter-with-lgb",
      "title": "[NCAAW20] (finally) no-leak starter with LGB",
      "source": "live",
      "kernel_id": "8084358"
    },
    {
      "ref": "khoongweihao/ncaaw2020-lightgbm-k-fold-on-fire-viz",
      "title": "[NCAAW2020] LightGBM: K-fold on Fire (Viz)",
      "source": "live",
      "kernel_id": "8082740"
    },
    {
      "ref": "hamditarek/ncaaw20-eda-and-nn-lgb-catb-starter-7c65f8",
      "title": "[NCAAW20] EDA and NN+LGB+CatB starter 7c65f8",
      "source": "live",
      "kernel_id": "8079138"
    },
    {
      "ref": "ysanojpn/2020-ncaa-mw",
      "title": "2020-NCAA{MW}",
      "source": "live",
      "kernel_id": "8067081"
    },
    {
      "ref": "robikscube/ncaa-basketball-court-plot-helper-functions",
      "title": "🎟️ NCAA Basketball Court Plot Helper Functions",
      "source": "live",
      "kernel_id": "8053642"
    },
    {
      "ref": "sakana/simple-feature-enginering-with-lightgbm",
      "title": "Simple Feature Enginering with LightGBM",
      "source": "live",
      "kernel_id": "8045032"
    },
    {
      "ref": "code1110/ncaaw20-eda-and-nn-lgb-catb-starter",
      "title": "[NCAAW20] EDA and NN+LGB+CatB starter",
      "source": "live",
      "kernel_id": "8016864"
    },
    {
      "ref": "immvab/nn-starter-tensorflow",
      "title": "NN Starter Tensorflow",
      "source": "live",
      "kernel_id": "8012595"
    },
    {
      "ref": "vikassingh1996/ncaa-march-madness-exploratory-analysis-fe",
      "title": "🏀NCAA® March Madness: Exploratory Analysis + FE",
      "source": "live",
      "kernel_id": "8010314"
    },
    {
      "ref": "chariots17/using-xgboost-lgb-to-predict",
      "title": " Using XGBOOST&lgb to predict",
      "source": "live",
      "kernel_id": "8009069"
    },
    {
      "ref": "lucabasa/are-men-s-and-women-s-tournaments-different",
      "title": "Are Men's and Women's tournaments different?",
      "source": "live",
      "kernel_id": "8000566"
    },
    {
      "ref": "parulpandey/decoding-march-madness",
      "title": "Decoding March Madness ",
      "source": "live",
      "kernel_id": "7997559"
    },
    {
      "ref": "chariots17/artificial-nerual-network-keras",
      "title": "Artificial Nerual Network(keras)",
      "source": "live",
      "kernel_id": "7995656"
    },
    {
      "ref": "holoong9291/eda-for-ncaa-march-madness-en-only-for-women",
      "title": "EDA for NCAA® March Madness - EN/中文 only for women",
      "source": "live",
      "kernel_id": "7992020"
    },
    {
      "ref": "igormacgregor/2020-march-madness-extensive-eda",
      "title": "🏀⛹️‍🥇 2020 March Madness - Extensive EDA",
      "source": "live",
      "kernel_id": "7985212"
    },
    {
      "ref": "cmougan/basic-kernel-with-catboost-no-tunning",
      "title": "Basic Kernel with Catboost No Tunning",
      "source": "live",
      "kernel_id": "7981809"
    },
    {
      "ref": "a45632/2020-starter-kernel-women-improved",
      "title": "2020 Starter Kernel Women Improved",
      "source": "live",
      "kernel_id": "7981323"
    },
    {
      "ref": "hiromoon166/2020-women-s-starter-kernel",
      "title": "2020 Women's Starter Kernel",
      "source": "live",
      "kernel_id": "7980891"
    },
    {
      "ref": "robikscube/2020-march-madness-data-first-look-eda",
      "title": "🏀 2020 March Madness Data - First Look EDA",
      "source": "live",
      "kernel_id": "7976826"
    },
    {
      "ref": "jpmiller/creating-a-good-analytics-report",
      "title": "",
      "source": "meta",
      "kernel_id": "8018097"
    },
    {
      "ref": "anshumoudgil/games-strategy-ideas-from-eda",
      "title": "",
      "source": "meta",
      "kernel_id": "8073041"
    },
    {
      "ref": "tnmasui/ncaaw-2021-lgb-w-fe-on-three-datasets",
      "title": "",
      "source": "meta",
      "kernel_id": "15164877"
    }
  ],
  "errors": []
}