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      "votes": 8
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      "ref": "frankmollard/finding-the-optimal-weight-between-three-models",
      "votes": 36
    },
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      "ref": "mullerismail/r-embed-them-all",
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      "ref": "pavelvpster/cat-in-dat-2-features-interaction",
      "votes": 1
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    {
      "ref": "lsinev/catboost-with-bayes-opt",
      "votes": 7
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    {
      "ref": "bluewizard/catboost-model-w-dummy-target-encoders",
      "votes": 3
    },
    {
      "ref": "vadbeg/pytorch-nn-with-embeddings-and-catboost",
      "votes": 63
    },
    {
      "ref": "amoghjrules/intro-to-stacking-averaging-base-models",
      "votes": 17
    },
    {
      "ref": "carsonlloyd/ohe-and-target-encoding-logreg",
      "votes": 3
    },
    {
      "ref": "pjrenzov/categorical-encoding-ii",
      "votes": 0
    },
    {
      "ref": "teejmahal20/clustering-categorical-data-k-modes-cat-ii",
      "votes": 73
    },
    {
      "ref": "shankarpendse/baseline-value-determination",
      "votes": 0
    },
    {
      "ref": "drewheasman/missingness-analysis",
      "votes": 6
    },
    {
      "ref": "aanubhav/almost-fastai-defaults-crossvalidation",
      "votes": 8
    },
    {
      "ref": "itsbitan/encode-categorical-features",
      "votes": 13
    },
    {
      "ref": "jinbao/embedding-dnn-ii",
      "votes": 7
    },
    {
      "ref": "bluewizard/logistic-regression-w-onehot-catboost-encoders",
      "votes": 7
    },
    {
      "ref": "atharvap329/catboost-baseline",
      "votes": 8
    },
    {
      "ref": "ganeshmundra/prediction-using-6-diff-model",
      "votes": 19
    },
    {
      "ref": "fkdplc/ensembling-logisticregression-and-catboost",
      "votes": 13
    },
    {
      "ref": "cyannani123/kernel4c60139451",
      "votes": 1
    },
    {
      "ref": "nicapotato/categorical-tabular-pytorch-classifier",
      "votes": 12
    },
    {
      "ref": "nicapotato/cat-class-logistic-regression-stack",
      "votes": 7
    },
    {
      "ref": "nyk510/categorical-encoding-by-simple-target-encoding",
      "votes": 4
    },
    {
      "ref": "caesarlupum/xgbclassifier-target-encoding-in-20-lines",
      "votes": 16
    },
    {
      "ref": "horohoro/categorical-feature-encoding2-logisticregression",
      "votes": 13
    },
    {
      "ref": "nandhuelan/let-s-tickle-the-cat-meow",
      "votes": 24
    },
    {
      "ref": "caesarlupum/learn-logistic-regression-with-random-cats",
      "votes": 29
    },
    {
      "ref": "tunguz/cat-ii-logistic-regression-baseline",
      "votes": 8
    },
    {
      "ref": "cemsarier/preprocessing-filling-nan-and-logistic-regression",
      "votes": 16
    },
    {
      "ref": "springmanndaniel/keras-r-embeddings-baseline",
      "votes": 32
    },
    {
      "ref": "tunguz/cat-ii-histgradientboostingclassifier-baseline",
      "votes": 11
    },
    {
      "ref": "nicapotato/categorical-ii-catboost-pool-cv-bayes-opt-gpu",
      "votes": 4
    },
    {
      "ref": "nicapotato/whats-new-sklearn-0-22-1-cat-classifier-stack",
      "votes": 10
    },
    {
      "ref": "ryomakawata/skf-lightgbm",
      "votes": 4
    },
    {
      "ref": "jeromeblanchet/visualize-the-level-of-randomness-in-random-forest",
      "votes": 5
    },
    {
      "ref": "subinium/categorical-data-eda-visualization",
      "votes": 121
    },
    {
      "ref": "ryomakawata/embeddings",
      "votes": 1
    },
    {
      "ref": "gustavomodelli/elastic-net-r",
      "votes": 4
    },
    {
      "ref": "gustavomodelli/elastic-net",
      "votes": 0
    },
    {
      "ref": "horohoro/categorical-feature-encoding2-eda-catboost-train",
      "votes": 3
    },
    {
      "ref": "lucamassaron/catboost-in-action-with-dnn",
      "votes": 51
    },
    {
      "ref": "vikassingh1996/don-t-underestimate-the-power-of-a-logistic-reg",
      "votes": 138
    },
    {
      "ref": "faressayah/knneighbors-private-vs-public-universities",
      "votes": 89
    },
    {
      "ref": "shrutimechlearn/purrfect-start",
      "votes": 3
    },
    {
      "ref": "ricopue/cramers-v-correlation-for-cat-i-cat-ii",
      "votes": 3
    },
    {
      "ref": "carlodnt/catboost-shap-fastai",
      "votes": 22
    },
    {
      "ref": "faressayah/k-means-clustering-private-vs-public-universities",
      "votes": 170
    },
    {
      "ref": "vincentlugat/skf-lightgbm-target-encoding",
      "votes": 49
    },
    {
      "ref": "ccccat/let-s-overfit-some",
      "votes": 26
    },
    {
      "ref": "nasere/catboost-magic-baseline",
      "votes": 7
    },
    {
      "ref": "tunguz/adversicat-ii",
      "votes": 26
    },
    {
      "ref": "tunguz/multi-cat-encodings",
      "votes": 17
    },
    {
      "ref": "mpwolke/fun-with-cris-cat-comp",
      "votes": 1
    },
    {
      "ref": "lucamassaron/catboost-beats-auto-ml",
      "votes": 28
    },
    {
      "ref": "ryohgy/simply-drop-columns-with-high-cardinality",
      "votes": 2
    },
    {
      "ref": "caesarlupum/2020-20-lines-target-encoding",
      "votes": 126
    },
    {
      "ref": "abhishek/same-old-entity-embeddings",
      "votes": 451
    },
    {
      "ref": "riyadmks/basic-model-rtk",
      "votes": 3
    },
    {
      "ref": "kulkarnivishwanath/categorical-feature-encoding-challenge-ii",
      "votes": 6
    },
    {
      "ref": "pavelvpster/cat-in-dat-2-embeddings-target-keras",
      "votes": 51
    },
    {
      "ref": "grapestone5321/categorical-feature-sample-submission",
      "votes": 2
    },
    {
      "ref": "khulapkosv/lightgbm-simple-starter",
      "votes": 3
    },
    {
      "ref": "mpwolke/meoh-katzen",
      "votes": 11
    },
    {
      "ref": "kaushal2896/cat-in-dat-ii-simple-logistic-regression",
      "votes": 11
    },
    {
      "ref": "eliasgreen/pure-start-notebook-challenge-2",
      "votes": 1
    },
    {
      "ref": "lucamassaron/categorical-feature-encoding-with-tensorflow",
      "votes": 79
    },
    {
      "ref": "hanifansari93/encoding-the-cats",
      "votes": 9
    },
    {
      "ref": "marcovasquez/basic-eda-categoricals-values",
      "votes": 27
    },
    {
      "ref": "drcapa/categorical-feature-engineering-2-xgb",
      "votes": 37
    },
    {
      "ref": "faressayah/hyperparameter-optimization-for-machine-learning",
      "votes": 81
    },
    {
      "ref": "faressayah/data-science-best-practices-with-pandas-part-1",
      "votes": 176
    },
    {
      "ref": "thirumani/categorical-feature-encoding-challenge",
      "votes": 14
    }
  ]
}