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      "ref": "tobiascortese/elo-merchant-category-recommendation",
      "title": "Elo Merchant Category Recommendation",
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      "kernel_id": "3415227"
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      "ref": "mittasagar/elo-recommendation",
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      "source": "live",
      "kernel_id": "3396287"
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    {
      "ref": "selonsy/elo-selonsy",
      "title": "Elo Selonsy",
      "source": "live",
      "kernel_id": "3259637"
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      "ref": "morenoh149/cubist-hello-world",
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      "kernel_id": "3250168"
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    {
      "ref": "necrospk/top-143-silver-decision-private-lb-3-61108",
      "title": "Top #143 silver decision [Private LB 3.61108] ",
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      "kernel_id": "3158401"
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    {
      "ref": "amishra027/elo-merchant",
      "title": "Elo merchant",
      "source": "live",
      "kernel_id": "3129591"
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    {
      "ref": "hiralmshah/reduce-memory-usage-trick-with-elo-merchant-data",
      "title": "Reduce Memory Usage Trick with Elo Merchant Data",
      "source": "live",
      "kernel_id": "3109205"
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    {
      "ref": "optoport/fork-test",
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      "kernel_id": "3100468"
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      "ref": "gargmo/elo-merchant",
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      "source": "live",
      "kernel_id": "3077991"
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      "ref": "donkeyrob/my-first-kernel",
      "title": "My first kernel (๑╹ᆺ╹)",
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      "kernel_id": "3073969"
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      "ref": "rajeshcv/final-models",
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      "source": "live",
      "kernel_id": "3062126"
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    {
      "ref": "tommycpp/elo-rf",
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      "source": "live",
      "kernel_id": "3057792"
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    {
      "ref": "alfaromeo1979/my-loyalty",
      "title": "My Loyalty",
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      "kernel_id": "3056936"
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    {
      "ref": "raddar/unobserved-data-simulation-exploiting-target",
      "title": "unobserved data simulation - exploiting target!",
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      "kernel_id": "3054551"
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      "ref": "matsun0323/outliers-classfication",
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      "kernel_id": "3053415"
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      "ref": "rajeshcv/customer-loyalty-based-on-rfm-analysis",
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      "kernel_id": "3053261"
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      "ref": "phithor/elo-world-high-score-without-blending-fork",
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      "kernel_id": "3047445"
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      "ref": "amishra027/elo-statiscal-analysis-recommendation-system",
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      "kernel_id": "3044746"
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      "ref": "cpmpml/raddar-magic-explained-a-bit",
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      "kernel_id": "3034508"
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      "ref": "mgiraygokirmak/elo-experiments",
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      "kernel_id": "3027633"
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      "ref": "mihazare/elo-world-xgbregressor",
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      "ref": "chirag19/elo-merchant-recommendation",
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      "ref": "flubber/predicting-loyalty-score-ensemble",
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      "kernel_id": "3017553"
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      "ref": "rgoodman/elo-merchant-no-peeking-v2",
      "title": "Elo Merchant - No Peeking v2",
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      "kernel_id": "3016565"
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      "ref": "luoqi21/elo-my-first-notebook",
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      "kernel_id": "3004738"
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      "ref": "pk5097/elo-merchant-category-recommendation",
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      "kernel_id": "3003340"
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      "ref": "duytan33333/simple-lightgbm-without-blending-94e2ef",
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      "kernel_id": "3002674"
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      "ref": "ajithvallabai/lgb-fe-lb-3-707",
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      "kernel_id": "3001548"
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      "ref": "aleksthegreat/autoencoder-on-feature-pivots",
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      "kernel_id": "3000817"
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    {
      "ref": "ajithvallabai/recommedation-system-elo-merchant",
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      "kernel_id": "2996970"
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      "ref": "christinashin/my-first-feature-engineering-with-merchant-data",
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      "ref": "neerajnatu/elo-merchant-base-model",
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      "kernel_id": "2991888"
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      "ref": "shubhinderrana/feature-engineering-monthly-rate-0-002-cv-lb",
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      "kernel_id": "2989609"
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      "ref": "brendanhasz/elo-data-cleaning-and-eda",
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      "ref": "cttsai/simple-huber-loss-lgbm-cv-bagging",
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      "ref": "juyeong1537/juyeong-merchant-eda",
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      "kernel_id": "2982047"
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      "ref": "cookierhkwk/sanghyung-merchants-eda",
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      "ref": "raddar/merchant-id-imputations",
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      "ref": "tomtum/elo-fastai-starter",
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      "kernel_id": "2969552"
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      "ref": "himabindukunani/my-first-kernel",
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      "kernel_id": "2962716"
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      "ref": "leighplt/brasil-estat-sticas",
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      "kernel_id": "2953028"
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      "ref": "shyamgovind/calculating-loyalty-score",
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    {
      "ref": "econdata/elo-17",
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      "kernel_id": "2947047"
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      "ref": "econdata/elo-ml",
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      "ref": "nklinzhiming/classfy-first-and-then-regress",
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      "kernel_id": "2942094"
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      "kernel_id": "2940150"
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      "ref": "flubber/predicting-loyalty-score-xgboost",
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      "ref": "rajeshcv/feature-engineering-on-multiple-reference-dates",
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      "kernel_id": "2931082"
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      "ref": "cywwayne/starter-code-fe-for-time-series-model-lstm",
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      "ref": "flubber/predicting-loyalty-score-gbm",
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      "kernel_id": "2919543"
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      "ref": "dineshzero/simple-neural-network",
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      "kernel_id": "2918628"
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      "ref": "brendanhasz/elo-modeling",
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      "kernel_id": "2915858"
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      "ref": "chocozzz/elo-merchant-eda-for-beginners",
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      "kernel_id": "2915349"
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      "ref": "calabist/resolving-mystery-of-reference-date",
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      "kernel_id": "2914651"
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      "ref": "raddar/card-id-loyalty-different-points-in-time",
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      "kernel_id": "2913411"
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      "ref": "atharkharal/elo-my1",
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      "kernel_id": "2910745"
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      "ref": "praxitelisk/elo-eda-ml",
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      "kernel_id": "2905166"
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      "ref": "raddar/target-true-meaning-revealed",
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      "ref": "mohdatir/towards-de-anonymizing-the-data-some-insig-e695ca",
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      "kernel_id": "2893486"
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      "ref": "amitkumarjaiswal/bayesian-ridge",
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      "kernel_id": "2882261"
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      "ref": "peacemaket/outlier-prediction-eda-fe-model-etc",
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      "kernel_id": "2880714"
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      "ref": "econdata/elomerchantml",
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      "ref": "econdata/elomerchant",
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      "ref": "mamkuzhy74/merge-all-data-sets-to-build-several-features",
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      "ref": "cttsai/simple-lgbm-cv-bagging",
      "title": "Simple LGBM CV Bagging",
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      "kernel_id": "2873848"
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    {
      "ref": "sergejkoenig/target-as-integer-ratio",
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      "kernel_id": "2868603"
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      "ref": "raddar/towards-de-anonymizing-the-data-some-insights",
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      "kernel_id": "2865687"
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      "ref": "cttsai/simple-xgboost-cv-bagging",
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      "kernel_id": "2861242"
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    {
      "ref": "mnds18/elo-using-lot-of-stuff",
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      "kernel_id": "2860261"
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      "ref": "vykhand/eda01-late-eda",
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      "kernel_id": "2854108"
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      "ref": "kmedvedev/elo-slow-but-bullet-proof-feature-selection",
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      "kernel_id": "2848398"
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      "ref": "mks2192/feature-engineering",
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      "kernel_id": "2847914"
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      "ref": "vinchileo/elo-data-like-a-brain-fe",
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      "kernel_id": "2840526"
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    {
      "ref": "tminima/elo-eda",
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      "source": "live",
      "kernel_id": "2837043"
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    {
      "ref": "arunbhuta/target-based-on-lm-v3",
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      "kernel_id": "2834201"
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    {
      "ref": "mnds18/elo-using-lgbm-and-feature-engineering",
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      "kernel_id": "2823477"
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      "ref": "michelnzikou/linearregression-tf",
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      "kernel_id": "2820971"
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    {
      "ref": "sikolia/elo-data-preparation",
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      "kernel_id": "2819957"
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      "ref": "jazivxt/the-good-the-bad-and-the",
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      "kernel_id": "2818266"
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      "ref": "saif1234/basic-eda-and-baseline-model-3-847",
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      "kernel_id": "2817126"
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      "ref": "guru1411/competition-assignment",
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      "ref": "anjulk/elo-program-v-2",
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      "source": "live",
      "kernel_id": "2812885"
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      "ref": "jamesdhope/elo-xgboost",
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      "source": "live",
      "kernel_id": "2801890"
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    {
      "ref": "shawngoldw/elo-customer-journey",
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      "kernel_id": "2776748"
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      "ref": "kalyankkr/simple-lightgbm-without-blending",
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      "kernel_id": "2775422"
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      "ref": "fabianoswald/elo-datascience-hrytsiv-asal-peschke",
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      "kernel_id": "2771716"
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      "ref": "luischreiter/creating-input-for-the-elo-project-notebook",
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      "kernel_id": "2765534"
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      "ref": "roydatascience/combining-your-model-with-a-model-without-outlier",
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      "kernel_id": "2765286"
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      "ref": "amanagr/elo-lgbm",
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      "kernel_id": "2764297"
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      "ref": "saurabh502/why-no-simple-blend-plb-3-687",
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      "kernel_id": "2761006"
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      "ref": "tuanflash/simple-lgbm-without-blending-extract-feature",
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      "kernel_id": "2760822"
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      "ref": "michelnzikou/rnn-elo-merchant",
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      "kernel_id": "2760652"
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      "ref": "jylee4/eda-first",
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      "kernel_id": "2758884"
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      "ref": "hiralmshah/elo-data-analysis",
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      "kernel_id": "2756690"
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      "ref": "hyominchoi/embedding-excersie-with-elo-merchant-rec-data",
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      "ref": "michelnzikou/lrvsrfvsdct-revisited",
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      "kernel_id": "2752418"
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      "ref": "sachin619/elon-merchant-recommendation",
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      "source": "live",
      "kernel_id": "2748846"
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      "ref": "prashanththangavel/c-ustomer-l-ifetime-v-alue",
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      "kernel_id": "2747062"
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      "kernel_id": "2743205"
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      "ref": "batuhanyerinde/data-analysis-for-elo-merchant",
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      "kernel_id": "2741901"
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      "ref": "tunguz/mitsuru-features-only-train-and-test",
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      "ref": "luischreiter/elo-project-final-version",
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      "kernel_id": "2734599"
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      "ref": "mfjwr1/simple-lightgbm-without-blending",
      "title": "Simple LightGBM without blending",
      "source": "live",
      "kernel_id": "2733054"
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      "ref": "anthonylauly/combine-and-doing-feature-engineering",
      "title": "Combine and Doing Feature Engineering",
      "source": "live",
      "kernel_id": "2732505"
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    {
      "ref": "swapkh91/first-try-elo",
      "title": "First Try ELO",
      "source": "live",
      "kernel_id": "2731588"
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    {
      "ref": "tarunaryyan/xtreme-gradient-boosting-hypertuning-26",
      "title": "Xtreme Gradient boosting: Hypertuning [26]",
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      "kernel_id": "2724919"
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    {
      "ref": "liamwr17/improving-lb-scores-with-stacking-3-708lb",
      "title": "Improving LB Scores with Stacking [3.708LB]",
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      "kernel_id": "2722350"
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    {
      "ref": "dex314/just-another-data-agg-and-model",
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      "kernel_id": "2722267"
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    {
      "ref": "roydatascience/recursive-feature-selection-using-sklearn-on-elo",
      "title": "Recursive Feature Selection using SkLearn on ELO",
      "source": "live",
      "kernel_id": "2720453"
    },
    {
      "ref": "haithemmzoughi/dealing-with-outliers-in-purchase-amount",
      "title": "Dealing with outliers in purchase_amount ",
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      "kernel_id": "2709514"
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    {
      "ref": "tayyabali55/statistical-methods-behind-machine-leaning",
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      "source": "live",
      "kernel_id": "2708158"
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    {
      "ref": "hyominchoi/elo-merchant-category-lab",
      "title": "Elo Merchant Category Lab",
      "source": "live",
      "kernel_id": "2706181"
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    {
      "ref": "chandureddyvari/sprinkling-in-some-deep-learning-using-fast-ai",
      "title": "Sprinkling in some Deep learning using fast.ai",
      "source": "live",
      "kernel_id": "2700740"
    },
    {
      "ref": "keeping/elo-data-analysis",
      "title": "ELo Data Analysis",
      "source": "live",
      "kernel_id": "2698868"
    },
    {
      "ref": "kalyankkr/elo-recommendation",
      "title": " ELo recommendation",
      "source": "live",
      "kernel_id": "2695466"
    },
    {
      "ref": "yassinealouini/how-small-could-it-get",
      "title": "How small could it get?",
      "source": "live",
      "kernel_id": "2693637"
    },
    {
      "ref": "lokendradevangan/elo-recommendation-eda",
      "title": "Elo recommendation EDA",
      "source": "live",
      "kernel_id": "2690423"
    },
    {
      "ref": "wanghuanhuan/kaggle-first-12",
      "title": "kaggle first 12",
      "source": "live",
      "kernel_id": "2688275"
    },
    {
      "ref": "skeftical/elo-world-dimensionality-reduction-for-outliers",
      "title": "Elo World! Dimensionality Reduction for outliers",
      "source": "live",
      "kernel_id": "2675977"
    },
    {
      "ref": "kiyo22/fork-of-lightgbm-gbdt-rf-analyst-in-japanese",
      "title": " Fork of LIghtGBM (GBDT + RF) Analyst In Japanese",
      "source": "live",
      "kernel_id": "2665175"
    },
    {
      "ref": "conheomauxanh1/elo-world-high-score-without-blending",
      "title": "elo_world_high_score_without_blending",
      "source": "live",
      "kernel_id": "2664530"
    },
    {
      "ref": "kingychiu/to-save-time-cache-your-aggregations",
      "title": "To Save Time. Cache Your Aggregations.",
      "source": "live",
      "kernel_id": "2660408"
    },
    {
      "ref": "celestinhermez/elo-data-wrangling-cleaning-kernel-1",
      "title": "ELO Data Wrangling/Cleaning (Kernel 1)",
      "source": "live",
      "kernel_id": "2651651"
    },
    {
      "ref": "nikhilikhar/elo-random-forest-with-purchase-date",
      "title": "Elo random forest with 'purchase_date'",
      "source": "live",
      "kernel_id": "2651287"
    },
    {
      "ref": "sureshsuri/elo-merchants-data-analysis",
      "title": "elo merchants  data analysis",
      "source": "live",
      "kernel_id": "2645754"
    },
    {
      "ref": "jacksmengel/elo-lightgbm-5-folds",
      "title": "Elo -> lightgbm -> 5 folds",
      "source": "live",
      "kernel_id": "2645348"
    },
    {
      "ref": "shikha130vv/user-loyalty-prediction-understanding-regression",
      "title": "User Loyalty Prediction - Understanding Regression",
      "source": "live",
      "kernel_id": "2638943"
    },
    {
      "ref": "alajangi/combining-your-model-with-a-model-without-o-0d991a",
      "title": "Combining your model with a model without o 0d991a",
      "source": "live",
      "kernel_id": "2632150"
    },
    {
      "ref": "mks2192/generating-feature",
      "title": "generating_feature",
      "source": "live",
      "kernel_id": "2631355"
    },
    {
      "ref": "vanyaslobodchikov/elo-eda",
      "title": "Elo EDA",
      "source": "live",
      "kernel_id": "2628540"
    },
    {
      "ref": "prasunmishra/nn-relu-one-hiddenlayer",
      "title": "NN+ReLU+One HiddenLayer",
      "source": "live",
      "kernel_id": "2619977"
    },
    {
      "ref": "asrinivasan16/combining-your-model-with-a-model-without-o-0d991a",
      "title": "Combining your model with a model without o 0d991a",
      "source": "live",
      "kernel_id": "2613081"
    },
    {
      "ref": "bharathchar/elo-stack-interaction-on-categorical-vari-4ab579",
      "title": "Elo Stack & Interaction on Categorical Vari 4ab579",
      "source": "live",
      "kernel_id": "2613018"
    },
    {
      "ref": "bharathchar/elo-stack-interaction-on-categorical-variables",
      "title": "Elo Stack & Interaction on Categorical Variables.",
      "source": "live",
      "kernel_id": "2613017"
    },
    {
      "ref": "alajangi/feature-engineering-stacking-ensemble",
      "title": "Feature Engineering + Stacking ensemble",
      "source": "live",
      "kernel_id": "2612714"
    },
    {
      "ref": "sikolia/my-second-python-notebook-elo",
      "title": "my second python notebook elo ",
      "source": "live",
      "kernel_id": "2608552"
    },
    {
      "ref": "mandan/choosing-the-best-hyperparameters-for-lightgbm",
      "title": "Choosing the best Hyperparameters for LightGBM",
      "source": "live",
      "kernel_id": "2607690"
    },
    {
      "ref": "moizzz/r-eda-elo",
      "title": "R EDA Elo",
      "source": "live",
      "kernel_id": "2596269"
    },
    {
      "ref": "georsara1/3-first-pca-components-explain-99-99-of-variance",
      "title": "3 first PCA components explain 99.99% of variance",
      "source": "live",
      "kernel_id": "2594316"
    },
    {
      "ref": "drfvalente/olasd23",
      "title": "olasd23",
      "source": "live",
      "kernel_id": "2593017"
    },
    {
      "ref": "yijingsf/feature-selection-importance-index",
      "title": "Feature selection - importance index",
      "source": "live",
      "kernel_id": "2590956"
    },
    {
      "ref": "abhishekaarush/lightgbm-gbdt-rf-baysian-ridge-reg-lb-3-61",
      "title": "LIghtGBM (GBDT + RF) Baysian Ridge Reg:[LB 3.61]",
      "source": "live",
      "kernel_id": "2587076"
    },
    {
      "ref": "kalyankkr/h-elo-viewers",
      "title": "H'Elo' Viewers",
      "source": "live",
      "kernel_id": "2580770"
    },
    {
      "ref": "yijingsf/feature-engineering",
      "title": "Feature engineering",
      "source": "live",
      "kernel_id": "2579117"
    },
    {
      "ref": "soojung3421/eda-first-trial",
      "title": "EDA - First Trial",
      "source": "live",
      "kernel_id": "2575297"
    },
    {
      "ref": "somang1418/basic-eda-with-r",
      "title": "Basic EDA with R ",
      "source": "live",
      "kernel_id": "2571667"
    },
    {
      "ref": "mithlesh14/elo-merchant-loyality-score",
      "title": "Elo merchant -Loyality Score",
      "source": "live",
      "kernel_id": "2558534"
    },
    {
      "ref": "harishvutukuri/elo-merchant-category-recommendation",
      "title": "Elo Merchant Category Recommendation",
      "source": "live",
      "kernel_id": "2558100"
    },
    {
      "ref": "bhatvm/elo-eda-and-ml-with-xgboost-and-rf",
      "title": "ELO - EDA and ML with XGBoost and RF",
      "source": "live",
      "kernel_id": "2556075"
    },
    {
      "ref": "wanghuanhuan/kernel6681532d74",
      "title": "kernel6681532d74",
      "source": "live",
      "kernel_id": "2554945"
    },
    {
      "ref": "yiping950909/feature-engineering-and-light-gbm",
      "title": "Feature engineering and Light GBM",
      "source": "live",
      "kernel_id": "2545982"
    },
    {
      "ref": "anirbank/fork-of-exploring-relationships-merch-grp-strat",
      "title": "Fork of Exploring relationships - Merch Grp Strat",
      "source": "live",
      "kernel_id": "2543002"
    },
    {
      "ref": "ajithvallabai/elo-world",
      "title": "Elo world",
      "source": "live",
      "kernel_id": "2542094"
    },
    {
      "ref": "anirbank/exploring-relationships-summing-attribs",
      "title": "Exploring relationships - Summing attribs",
      "source": "live",
      "kernel_id": "2539501"
    },
    {
      "ref": "pracas/elo-merchant-data-dimen",
      "title": "ELO_Merchant_Data_Dimen",
      "source": "live",
      "kernel_id": "2537876"
    },
    {
      "ref": "yuetaolv/steps-of-problem-solving-and-data-analysis",
      "title": "Steps of problem solving and data analysis ",
      "source": "live",
      "kernel_id": "2536822"
    },
    {
      "ref": "ajithvajrala/elo-merchant-category-recommendation",
      "title": "Elo Merchant Category Recommendation",
      "source": "live",
      "kernel_id": "2533327"
    },
    {
      "ref": "manjeetsingh/elo-xgb",
      "title": "Elo XGB",
      "source": "live",
      "kernel_id": "2531470"
    },
    {
      "ref": "anirbank/exploring-relationships-merch-cat-stratified",
      "title": "Exploring relationships - Merch Cat stratified",
      "source": "live",
      "kernel_id": "2518748"
    },
    {
      "ref": "loftier/elo-merchant-category-recommendation-3-657",
      "title": "Elo Merchant Category Recommendation [3.657]",
      "source": "live",
      "kernel_id": "2505112"
    },
    {
      "ref": "gpreda/r-elo-eda",
      "title": "R Elo EDA",
      "source": "live",
      "kernel_id": "2504864"
    },
    {
      "ref": "anirbank/elo-cards-predictive-modeling-scratchpad",
      "title": "Elo Cards, predictive modeling scratchpad",
      "source": "live",
      "kernel_id": "2497426"
    },
    {
      "ref": "dmdm02/feature-engineering-stacking-ensemble",
      "title": "Feature Engineering + Stacking ensemble",
      "source": "live",
      "kernel_id": "2496848"
    },
    {
      "ref": "abhi111/elo-merchant-modeling",
      "title": "Elo Merchant-Modeling",
      "source": "live",
      "kernel_id": "2495799"
    },
    {
      "ref": "joydeb28/awesome-data-science-cheatsheet",
      "title": "Awesome Data Science Cheatsheet",
      "source": "live",
      "kernel_id": "2493275"
    },
    {
      "ref": "rajashri/loyalty-credit-card",
      "title": "Loyalty  - Credit Card",
      "source": "live",
      "kernel_id": "2479572"
    },
    {
      "ref": "saeedheydari/elo-kernel",
      "title": "elo_kernel",
      "source": "live",
      "kernel_id": "2479243"
    },
    {
      "ref": "frtgnn/easy-blend-post-processing",
      "title": "Easy Blend - Post Processing",
      "source": "live",
      "kernel_id": "2478198"
    },
    {
      "ref": "chandlervan/baselinev3",
      "title": "baselinev3",
      "source": "live",
      "kernel_id": "2472940"
    },
    {
      "ref": "wakamezake/elo-eda-pandas-profiling",
      "title": "Elo EDA(pandas-profiling)",
      "source": "live",
      "kernel_id": "2464807"
    },
    {
      "ref": "ncsuahlusar/data-preprocessing",
      "title": "Data Preprocessing",
      "source": "live",
      "kernel_id": "2460337"
    },
    {
      "ref": "ranjanabhay/elo-data-exploration",
      "title": "ELO-Data Exploration",
      "source": "live",
      "kernel_id": "2459968"
    },
    {
      "ref": "greenjohn/hello-elo-ensemble-will-help-you",
      "title": "Hello. Elo. Ensemble will help you",
      "source": "live",
      "kernel_id": "2456581"
    },
    {
      "ref": "ronniemiller/bgu-dl-assignmnt2-features-extraction",
      "title": "BGU_DL_assignmnt2_features_extraction",
      "source": "live",
      "kernel_id": "2451938"
    },
    {
      "ref": "haithemmzoughi/new-one",
      "title": "new_one",
      "source": "live",
      "kernel_id": "2445257"
    },
    {
      "ref": "chandlervan/baselinev2",
      "title": "baselineV2",
      "source": "live",
      "kernel_id": "2444266"
    },
    {
      "ref": "jzaldi/elo-reduce-mem-usage-gotchas",
      "title": "ELO / reduce_mem_usage Gotchas",
      "source": "live",
      "kernel_id": "2442730"
    },
    {
      "ref": "sgorlick/target-is-noisy-cauchy-distributed",
      "title": "Target is (noisy) cauchy distributed?",
      "source": "live",
      "kernel_id": "2438574"
    },
    {
      "ref": "yijingsf/thea1",
      "title": "thea1",
      "source": "live",
      "kernel_id": "2438251"
    },
    {
      "ref": "peterhurford/plotting-purchase-curves",
      "title": "Plotting Purchase Curves",
      "source": "live",
      "kernel_id": "2436128"
    },
    {
      "ref": "arjunsinghyadav2/customers-of-elo",
      "title": "Customers of ELO",
      "source": "live",
      "kernel_id": "2429463"
    },
    {
      "ref": "jpvalen0/for-beginners-answer-tipical-questions-elo",
      "title": "For beginners: answer tipical questions-elo",
      "source": "live",
      "kernel_id": "2428424"
    },
    {
      "ref": "akbarato/run-forest",
      "title": "Run Forest",
      "source": "live",
      "kernel_id": "2427526"
    },
    {
      "ref": "roydatascience/elo-stack-with-goss-boosting",
      "title": "Elo Stack With Goss Boosting",
      "source": "live",
      "kernel_id": "2427525"
    },
    {
      "ref": "indranilbhattacharya/let-s-play-with-xgb",
      "title": "Let's play with XGB",
      "source": "live",
      "kernel_id": "2426284"
    },
    {
      "ref": "pedroforli/elo-data-engineering",
      "title": "Elo - Data Engineering",
      "source": "live",
      "kernel_id": "2425107"
    },
    {
      "ref": "liewmanchoi/my-first-kernel",
      "title": "My first kernel (๑╹ᆺ╹)",
      "source": "live",
      "kernel_id": "2420889"
    },
    {
      "ref": "lithuak/reducing-data-loading-time-to-3-6sec-size-by-70",
      "title": "Reducing data loading time to 3-6sec, size by ~70%",
      "source": "live",
      "kernel_id": "2419516"
    },
    {
      "ref": "tunguz/elo-with-h2o-automl",
      "title": "ELO with H2O AutoML",
      "source": "live",
      "kernel_id": "2409202"
    },
    {
      "ref": "tunguz/fathers-day-specials-just-the-features",
      "title": "Fathers Day Specials - Just The Features",
      "source": "live",
      "kernel_id": "2408919"
    },
    {
      "ref": "ronniemiller/bgu-dl-assignmnt2-competition",
      "title": "BGU_DL_assignmnt2_competition",
      "source": "live",
      "kernel_id": "2404877"
    },
    {
      "ref": "vbateman/ml-categorisation-elo-challenge",
      "title": "ML Categorisation - ELO Challenge",
      "source": "live",
      "kernel_id": "2400373"
    },
    {
      "ref": "waitingli/combining-your-model-with-a-model-without-outlier",
      "title": "Combining your model with a model without outlier",
      "source": "live",
      "kernel_id": "2398049"
    },
    {
      "ref": "joaopaulomartins/elo-world-merchants",
      "title": "Elo World + Merchants",
      "source": "live",
      "kernel_id": "2390756"
    },
    {
      "ref": "maonizh/elo-v1",
      "title": "ELO-V1",
      "source": "live",
      "kernel_id": "2386564"
    },
    {
      "ref": "chvraj/elo-exploration-predictive-modeling-in-r",
      "title": "ELO -Exploration & Predictive Modeling in R",
      "source": "live",
      "kernel_id": "2378372"
    },
    {
      "ref": "roydatascience/elo-merchant-recommendation-fathers-day-specials",
      "title": "Elo Merchant Recommendation : Fathers Day Specials",
      "source": "live",
      "kernel_id": "2371060"
    },
    {
      "ref": "nikitsoftweb/beginner-notebook-of-elo-merchant",
      "title": "Beginner Notebook of ELO Merchant",
      "source": "live",
      "kernel_id": "2367356"
    },
    {
      "ref": "nikitsoftweb/catboost-with-live-graphs-of-rmse",
      "title": "Catboost with live Graphs of RMSE",
      "source": "live",
      "kernel_id": "2367160"
    },
    {
      "ref": "tapioca/category-1-2-3-in-transactions",
      "title": "Category 1-2-3 in Transactions",
      "source": "live",
      "kernel_id": "2363842"
    },
    {
      "ref": "bhavesh09/lightgbm-with-all-features",
      "title": "LightGBM with all features",
      "source": "live",
      "kernel_id": "2360875"
    },
    {
      "ref": "delayedkarma/outlier-target-30-accuracy-rf-smote",
      "title": "Outlier (target<-30) accuracy (RF + Smote)",
      "source": "live",
      "kernel_id": "2341665"
    },
    {
      "ref": "dkmerona/fork-of-embedding-nn-64-feature",
      "title": "Fork of Embedding NN 64 feature",
      "source": "live",
      "kernel_id": "2341606"
    },
    {
      "ref": "roydatascience/elo-merchant-category-recommendation-lgbm",
      "title": "Elo Merchant Category Recommendation - LGBM",
      "source": "live",
      "kernel_id": "2340735"
    },
    {
      "ref": "ashishpatel26/lb-3-687-truncated-mean",
      "title": "[LB 3.687] Truncated Mean",
      "source": "live",
      "kernel_id": "2334218"
    },
    {
      "ref": "jiazhuang/basic-info-about-historical-new-transactions",
      "title": "Basic info about historical/new transactions",
      "source": "live",
      "kernel_id": "2334074"
    },
    {
      "ref": "efdeel/create-new-dataframe-to-analyze",
      "title": "create new dataframe to analyze",
      "source": "live",
      "kernel_id": "2333948"
    },
    {
      "ref": "nikitsoftweb/easy-lightgbm-grid-search",
      "title": "Easy LightGBM + Grid Search",
      "source": "live",
      "kernel_id": "2333453"
    },
    {
      "ref": "gpreda/elo-eda-and-prediction",
      "title": "Elo EDA and Prediction",
      "source": "live",
      "kernel_id": "2330332"
    },
    {
      "ref": "rlagrois/elo-first",
      "title": "elo first",
      "source": "live",
      "kernel_id": "2329895"
    },
    {
      "ref": "gpreda/elo-world-high-score-without-blending",
      "title": "elo_world_high_score_without_blending",
      "source": "live",
      "kernel_id": "2327892"
    },
    {
      "ref": "delayedkarma/let-s-add-some-features-for-the-national-holidays",
      "title": "Let's add some features for the national holidays",
      "source": "live",
      "kernel_id": "2323672"
    },
    {
      "ref": "kiyo22/elo-eda-and-models-analyst-in-japanese",
      "title": "Elo EDA and models Analyst in japanese",
      "source": "live",
      "kernel_id": "2323429"
    },
    {
      "ref": "fabiendaniel/hyperparameter-tuning",
      "title": "Hyperparameter tuning",
      "source": "live",
      "kernel_id": "2310763"
    },
    {
      "ref": "ronniemiller/bgu-dl-assignmnt2",
      "title": "BGU_DL_assignmnt2",
      "source": "live",
      "kernel_id": "2309738"
    },
    {
      "ref": "fabiendaniel/selecting-features",
      "title": "Selecting features",
      "source": "live",
      "kernel_id": "2308653"
    },
    {
      "ref": "juliaflower/feature-selection-lgbm-with-python",
      "title": "Feature selection + LGBM with Python",
      "source": "live",
      "kernel_id": "2306858"
    },
    {
      "ref": "chauhuynh/my-first-kernel-3-699",
      "title": "My first kernel (3.699)",
      "source": "live",
      "kernel_id": "2305504"
    },
    {
      "ref": "francomatiasferrari/elo-competition-lgbm",
      "title": "Elo Competition LGBM",
      "source": "live",
      "kernel_id": "2304800"
    },
    {
      "ref": "tianhaoz95/feature-engineering",
      "title": "Feature engineering",
      "source": "live",
      "kernel_id": "2304158"
    },
    {
      "ref": "ashishpatel26/lightgbm-goss-dart-parameter-tuning",
      "title": "LIghtGBM (goss + dart) + Parameter Tuning",
      "source": "live",
      "kernel_id": "2300066"
    },
    {
      "ref": "hozler/exploration-and-visualization-for-card-data",
      "title": "Exploration and Visualization for Card Data",
      "source": "live",
      "kernel_id": "2297735"
    },
    {
      "ref": "akshay00/let-s-move-up-on-the-lb-3-703-please-upvote",
      "title": "Let's Move Up on the LB(3.703) Please Upvote",
      "source": "live",
      "kernel_id": "2293687"
    },
    {
      "ref": "hozler/outlier-detection-and-removal",
      "title": "Outlier Detection and Removal",
      "source": "live",
      "kernel_id": "2290428"
    },
    {
      "ref": "konradb/lgb-fe-lb-3-707",
      "title": "LGB + FE (LB 3.707)",
      "source": "live",
      "kernel_id": "2283931"
    },
    {
      "ref": "lockeza/transaction-types",
      "title": "Transaction types",
      "source": "live",
      "kernel_id": "2283308"
    },
    {
      "ref": "rpalsaxena/preprocessing-of-29m-transaction-records",
      "title": "Preprocessing of 29M transaction records ",
      "source": "live",
      "kernel_id": "2282827"
    },
    {
      "ref": "teemingyi/investigating-33-target",
      "title": "Investigating -33 target",
      "source": "live",
      "kernel_id": "2282513"
    },
    {
      "ref": "viswanathravindran/simple-baseline-using-automl",
      "title": "Simple Baseline using AutoML",
      "source": "live",
      "kernel_id": "2278636"
    },
    {
      "ref": "ashishpatel26/rmse-3-66-multimodel-ridge-stacking",
      "title": "[RMSE 3.66] MultiModel + RIDGE + STACKING",
      "source": "live",
      "kernel_id": "2276903"
    },
    {
      "ref": "cyones77/tidy-elo-starter-with-lightgbm-and-cv-3-711",
      "title": "tidy_elo_starter with lightgbm and CV [3.711]",
      "source": "live",
      "kernel_id": "2275703"
    },
    {
      "ref": "floricar/elo-competition-xgbr",
      "title": "Elo Competition XGBR",
      "source": "live",
      "kernel_id": "2275115"
    },
    {
      "ref": "majickdave/myelo",
      "title": "myElo",
      "source": "live",
      "kernel_id": "2275105"
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