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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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      "ref": "sachin619/elon-merchant-recommendation",
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      "ref": "prashanththangavel/c-ustomer-l-ifetime-v-alue",
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      "ref": "yassinealouini/small-historical-transactions-parquet",
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      "ref": "batuhanyerinde/data-analysis-for-elo-merchant",
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      "ref": "mfjwr1/simple-lightgbm-without-blending",
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      "ref": "anthonylauly/combine-and-doing-feature-engineering",
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      "ref": "swapkh91/first-try-elo",
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      "ref": "tarunaryyan/xtreme-gradient-boosting-hypertuning-26",
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      "ref": "liamwr17/improving-lb-scores-with-stacking-3-708lb",
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      "ref": "haithemmzoughi/dealing-with-outliers-in-purchase-amount",
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      "ref": "hyominchoi/elo-merchant-category-lab",
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      "ref": "chandureddyvari/sprinkling-in-some-deep-learning-using-fast-ai",
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      "ref": "kalyankkr/elo-recommendation",
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      "ref": "yassinealouini/how-small-could-it-get",
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      "ref": "lokendradevangan/elo-recommendation-eda",
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      "ref": "wanghuanhuan/kaggle-first-12",
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      "ref": "skeftical/elo-world-dimensionality-reduction-for-outliers",
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      "ref": "kiyo22/fork-of-lightgbm-gbdt-rf-analyst-in-japanese",
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      "ref": "conheomauxanh1/elo-world-high-score-without-blending",
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      "ref": "kingychiu/to-save-time-cache-your-aggregations",
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    {
      "ref": "nikhilikhar/elo-random-forest-with-purchase-date",
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      "ref": "sureshsuri/elo-merchants-data-analysis",
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    {
      "ref": "jacksmengel/elo-lightgbm-5-folds",
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    {
      "ref": "shikha130vv/user-loyalty-prediction-understanding-regression",
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    {
      "ref": "alajangi/combining-your-model-with-a-model-without-o-0d991a",
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      "ref": "mks2192/generating-feature",
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    {
      "ref": "vanyaslobodchikov/elo-eda",
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    {
      "ref": "prasunmishra/nn-relu-one-hiddenlayer",
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      "ref": "asrinivasan16/combining-your-model-with-a-model-without-o-0d991a",
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      "ref": "bharathchar/elo-stack-interaction-on-categorical-vari-4ab579",
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      "ref": "bharathchar/elo-stack-interaction-on-categorical-variables",
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    {
      "ref": "alajangi/feature-engineering-stacking-ensemble",
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    {
      "ref": "sikolia/my-second-python-notebook-elo",
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    {
      "ref": "mandan/choosing-the-best-hyperparameters-for-lightgbm",
      "votes": 24
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      "ref": "moizzz/r-eda-elo",
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      "ref": "georsara1/3-first-pca-components-explain-99-99-of-variance",
      "votes": 33
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      "ref": "drfvalente/olasd23",
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    {
      "ref": "abhishekaarush/lightgbm-gbdt-rf-baysian-ridge-reg-lb-3-61",
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    {
      "ref": "kalyankkr/h-elo-viewers",
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    {
      "ref": "yijingsf/feature-engineering",
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    {
      "ref": "soojung3421/eda-first-trial",
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    {
      "ref": "somang1418/basic-eda-with-r",
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    {
      "ref": "mithlesh14/elo-merchant-loyality-score",
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    {
      "ref": "harishvutukuri/elo-merchant-category-recommendation",
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    {
      "ref": "bhatvm/elo-eda-and-ml-with-xgboost-and-rf",
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      "ref": "anirbank/fork-of-exploring-relationships-merch-grp-strat",
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      "ref": "ajithvallabai/elo-world",
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    {
      "ref": "anirbank/exploring-relationships-summing-attribs",
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    {
      "ref": "pracas/elo-merchant-data-dimen",
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    {
      "ref": "yuetaolv/steps-of-problem-solving-and-data-analysis",
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    {
      "ref": "ajithvajrala/elo-merchant-category-recommendation",
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    {
      "ref": "manjeetsingh/elo-xgb",
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    {
      "ref": "anirbank/exploring-relationships-merch-cat-stratified",
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    {
      "ref": "loftier/elo-merchant-category-recommendation-3-657",
      "votes": 28
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    {
      "ref": "gpreda/r-elo-eda",
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    {
      "ref": "anirbank/elo-cards-predictive-modeling-scratchpad",
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    {
      "ref": "dmdm02/feature-engineering-stacking-ensemble",
      "votes": 81
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    {
      "ref": "abhi111/elo-merchant-modeling",
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      "ref": "joydeb28/awesome-data-science-cheatsheet",
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      "ref": "rajashri/loyalty-credit-card",
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      "ref": "saeedheydari/elo-kernel",
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      "ref": "frtgnn/easy-blend-post-processing",
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      "ref": "chandlervan/baselinev3",
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      "ref": "wakamezake/elo-eda-pandas-profiling",
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      "ref": "ncsuahlusar/data-preprocessing",
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    {
      "ref": "ranjanabhay/elo-data-exploration",
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    {
      "ref": "greenjohn/hello-elo-ensemble-will-help-you",
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      "ref": "ronniemiller/bgu-dl-assignmnt2-features-extraction",
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    {
      "ref": "jzaldi/elo-reduce-mem-usage-gotchas",
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      "ref": "sgorlick/target-is-noisy-cauchy-distributed",
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      "ref": "peterhurford/plotting-purchase-curves",
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    {
      "ref": "arjunsinghyadav2/customers-of-elo",
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      "ref": "jpvalen0/for-beginners-answer-tipical-questions-elo",
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      "ref": "akbarato/run-forest",
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    {
      "ref": "roydatascience/elo-stack-with-goss-boosting",
      "votes": 184
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    {
      "ref": "indranilbhattacharya/let-s-play-with-xgb",
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      "ref": "pedroforli/elo-data-engineering",
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    {
      "ref": "liewmanchoi/my-first-kernel",
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    {
      "ref": "lithuak/reducing-data-loading-time-to-3-6sec-size-by-70",
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      "ref": "tunguz/elo-with-h2o-automl",
      "votes": 83
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      "ref": "tunguz/fathers-day-specials-just-the-features",
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      "ref": "ronniemiller/bgu-dl-assignmnt2-competition",
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      "ref": "vbateman/ml-categorisation-elo-challenge",
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    {
      "ref": "waitingli/combining-your-model-with-a-model-without-outlier",
      "votes": 519
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    {
      "ref": "joaopaulomartins/elo-world-merchants",
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      "ref": "maonizh/elo-v1",
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    {
      "ref": "chvraj/elo-exploration-predictive-modeling-in-r",
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    {
      "ref": "roydatascience/elo-merchant-recommendation-fathers-day-specials",
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    {
      "ref": "nikitsoftweb/beginner-notebook-of-elo-merchant",
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    {
      "ref": "nikitsoftweb/catboost-with-live-graphs-of-rmse",
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    {
      "ref": "tapioca/category-1-2-3-in-transactions",
      "votes": 44
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    {
      "ref": "bhavesh09/lightgbm-with-all-features",
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      "ref": "delayedkarma/outlier-target-30-accuracy-rf-smote",
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      "ref": "dkmerona/fork-of-embedding-nn-64-feature",
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    {
      "ref": "roydatascience/elo-merchant-category-recommendation-lgbm",
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    {
      "ref": "ashishpatel26/lb-3-687-truncated-mean",
      "votes": 309
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    {
      "ref": "jiazhuang/basic-info-about-historical-new-transactions",
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      "ref": "nikitsoftweb/easy-lightgbm-grid-search",
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      "ref": "rlagrois/elo-first",
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      "ref": "gpreda/elo-world-high-score-without-blending",
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      "ref": "delayedkarma/let-s-add-some-features-for-the-national-holidays",
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      "ref": "kiyo22/elo-eda-and-models-analyst-in-japanese",
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    {
      "ref": "fabiendaniel/hyperparameter-tuning",
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      "ref": "fabiendaniel/selecting-features",
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      "ref": "juliaflower/feature-selection-lgbm-with-python",
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    {
      "ref": "chauhuynh/my-first-kernel-3-699",
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      "ref": "tianhaoz95/feature-engineering",
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    {
      "ref": "ashishpatel26/lightgbm-goss-dart-parameter-tuning",
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      "ref": "hozler/exploration-and-visualization-for-card-data",
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      "ref": "hozler/outlier-detection-and-removal",
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    {
      "ref": "konradb/lgb-fe-lb-3-707",
      "votes": 135
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    {
      "ref": "lockeza/transaction-types",
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    {
      "ref": "rpalsaxena/preprocessing-of-29m-transaction-records",
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    {
      "ref": "teemingyi/investigating-33-target",
      "votes": 11
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      "ref": "viswanathravindran/simple-baseline-using-automl",
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    {
      "ref": "ashishpatel26/rmse-3-66-multimodel-ridge-stacking",
      "votes": 57
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      "ref": "cyones77/tidy-elo-starter-with-lightgbm-and-cv-3-711",
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      "ref": "floricar/elo-competition-xgbr",
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      "ref": "majickdave/myelo",
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    {
      "ref": "hozler/simple-decision-tree-just-for-a-sample-submission",
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    {
      "ref": "delayedkarma/utilizing-features-from-merchants-csv",
      "votes": 17
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    {
      "ref": "guntherthepenguin/fastai-based-mixed-input-model-lb-3-8",
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    {
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    {
      "ref": "rayidura/elo-lag-and-lgbm-scores",
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    {
      "ref": "prabhubhakta/kernel861406477e",
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    {
      "ref": "ashishpatel26/ridge-lightgbm-feature-engineering-bayesian",
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    {
      "ref": "anirbank/elo-cards-basic-eda-exposes-data-skewness",
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    {
      "ref": "firstprayer/understand-loyalty-score-w-r-t-hist-vs-new",
      "votes": 28
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    {
      "ref": "snagaria/elo-competion",
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      "ref": "harshit92/prediction-using-xgboost-3-771",
      "votes": 18
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    {
      "ref": "pavankumarkulkarni/historical-transaction-size-reduction",
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      "ref": "darryldias/data-analysis-dd12",
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      "ref": "chandlervan/lgb-with-some-statistic-feature",
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      "ref": "teemingyi/investigating-loyalty",
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    {
      "ref": "tunguz/eloda-with-feature-engineering-and-stacking",
      "votes": 254
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    {
      "ref": "akosciansky/do-train-and-test-set-share-the-same-distribution",
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      "ref": "hrmello/starter-neural-network-3-939-lb",
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      "ref": "dhimananubhav/bayesian-optimization-of-xgb-parameters",
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    {
      "ref": "richarde/how-to-easily-reduce-training-times",
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    {
      "ref": "samaxtech/eda-clean-feng-lgbm-xgboost-stacked-model",
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      "ref": "bgrad3031/kaggle-beginner-lgbm-starter",
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      "votes": 103
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      "votes": 50
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      "ref": "tandonarpit6/elo-use-of-featuretools-permutation-importance",
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    {
      "ref": "classtag/how-to-handle-this-most-outliers-in-target-values",
      "votes": 18
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    {
      "ref": "dineshramasamy/negative-result-merchant-id-based-embedding",
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      "votes": 239
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      "ref": "tunguz/elo-adversarial-validation",
      "votes": 144
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    {
      "ref": "thuongdinh/ensemble-with-best-weights-finding",
      "votes": 59
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    {
      "ref": "undrallaramesh/hello-elo-merchant-ensembles-and-lgb",
      "votes": 6
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      "ref": "amitrajan012/eda-and-base-models-lb-3-921",
      "votes": 9
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    {
      "ref": "mjbahmani/statistical-analysis-for-elo",
      "votes": 206
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    {
      "ref": "vijayrajmeena/elo-enlgbxg-py",
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    {
      "ref": "smasar/tutorial-eda-preprocessing-processing-evaluation",
      "votes": 14
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    {
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      "votes": 15
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    {
      "ref": "rooshroosh/simple-data-exploration-with-python-lb-3-760",
      "votes": 69
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    {
      "ref": "bparesh/elo-eda-model-my-first-r-kernel",
      "votes": 3
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    {
      "ref": "yonelanuba/elo-merchant-by-yonela",
      "votes": 2
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    {
      "ref": "dineshramasamy/explore-elo",
      "votes": 1
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    {
      "ref": "juliaflower/feature-engineering-xgboost-lgbm-with-r",
      "votes": 112
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    {
      "ref": "thuongdinh/feature-engineering-and-lightgbm-starter-fork",
      "votes": 21
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    {
      "ref": "ashirwadsangwan/data-exploration-elo-loyalty-score-prediction",
      "votes": 9
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    {
      "ref": "oneraghavan/elo-simple-eda-and-baseline",
      "votes": 4
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    {
      "ref": "youhanlee/hello-elo-ensemble-will-help-you",
      "votes": 102
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    {
      "ref": "malina015/elo-merchant-first-look",
      "votes": 13
    },
    {
      "ref": "chocozzz/simple-data-exploration-with-python-lb-3-764",
      "votes": 124
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    {
      "ref": "sergeykalutsky/some-data-exploration-elo",
      "votes": 3
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    {
      "ref": "kailex/r-eda-for-elo-ensemble-learning",
      "votes": 201
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    {
      "ref": "marlesson/vae-to-create-embedding-of-merchant",
      "votes": 62
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    {
      "ref": "kailex/tidy-elo-starter-3-70",
      "votes": 186
    },
    {
      "ref": "batalov/making-sense-of-elo-data-eda",
      "votes": 39
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}