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      "ref": "aantonova/some-new-risk-and-clusters-features",
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    {
      "ref": "socrateskouv/microsoft-malware-prediction-data-wrangling",
      "title": "Microsoft Malware Prediction - Data Wrangling",
      "source": "live",
      "kernel_id": "2736421"
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      "ref": "nroman/features-correlations",
      "title": "Features correlations",
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      "ref": "pedromb/read-data-faster-and-query-from-disk-with-hdf5",
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      "ref": "howlingwolfs1989/malware-competition-visualization",
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      "ref": "lukaszbk/formatting-numbers-in-pandas-dfs-1234-vs-1-234",
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      "ref": "itamargr/prepare-data-for-decision-trees-algorithms",
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      "ref": "rajasekhar6057/eda-for-microsoft-malware-prediction",
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    {
      "ref": "tatianass/microsoft-malware-prediction-eda-with-tableau",
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      "kernel_id": "2693501"
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    {
      "ref": "cttsai/fork-detecting-malwares-with-ftrl-proximal",
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      "kernel_id": "2692938"
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      "ref": "sionek/speed-of-data-table",
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      "ref": "dimitreoliveira/malware-detection-eda-and-lgbm",
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      "ref": "sionek/ordering-version-variables",
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      "ref": "nroman/hacking-osbuildlab-feature-updated",
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      "ref": "lastart1500/simple-neural-network-by-pytorch",
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      "ref": "rsmits/bayesian-optimization-for-lightgbm-parameters",
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      "ref": "cdeotte/time-series-eda-malware-0-64",
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      "ref": "karanjakhar/malware-detection",
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      "ref": "mutatos/ms-malware-fastest-load-of-full-datasets",
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      "ref": "rambabusure/malware-prediction-eda-detailed",
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      "ref": "mytymohan/dask-magic-wand-to-load-large-datasets",
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      "ref": "itamargr/decision-tree-learning",
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      "ref": "daletskidenis/data-conversion-to-speedup-future-imports",
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      "ref": "laleh83/microsoft-malware-predicion-eda",
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      "ref": "tunguz/ms-malware-adversarial-validation",
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      "ref": "zombiecleansdata/microsoft-malware",
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      "ref": "daletskidenis/interactive-data-cleaning-and-preprocessing",
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      "ref": "lastart1500/simple-script-for-submission-blending",
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      "ref": "kashnitsky/training-while-reading-vowpal-wabbit-starter",
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      "ref": "rquintino/classification-auc-per-feature",
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      "ref": "sametmarasli/nn-cat-embeddings-pytorch-starter-lb-0-656",
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      "ref": "shrutimechlearn/ms-malware-data-dictionary-and-basic-eda-results",
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      "ref": "rquintino/lightgbm-hyper-param-search-with-early-stop",
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      "ref": "rnreich/recursive-symmetric-adversarial-ensemble-unsafe",
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      "ref": "prachi/microsoft-malware-detections",
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      "ref": "prashanththangavel/eliminate-malware-features",
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      "ref": "hung96ad/new-blend",
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      "ref": "wjburns/64-channel-binary-mlp-malware-detection",
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      "ref": "liebycardoso/microsoft-malware-prediction",
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      "ref": "saurabh502/why-no-blend",
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      "ref": "nroman/engineering-display-features",
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      "ref": "xhlulu/load-entire-dataset-with-7-gb-ram-fork",
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      "ref": "codealist/micro-eda",
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      "source": "live",
      "kernel_id": "2374512"
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    {
      "ref": "cttsai/forked-lightgbm-msft-malware-predictor",
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      "source": "live",
      "kernel_id": "2373776"
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      "ref": "delayedkarma/exploring-the-non-numeric-features",
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      "ref": "chocozzz/simple-data-exploration-by-python",
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      "ref": "kailex/ms-malware-starter",
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      "ref": "theoviel/load-the-totality-of-the-data",
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      "ref": "docxian/create-training-subset-and-save-to-file",
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      "ref": "hrmello/eda-most-correlated-variables-to-the-target",
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