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      "ref": "nimesh280/ma-forecasting-with-holiday-effect-lb-0-529",
      "votes": 44
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      "ref": "hemantnyadav/multilayer-peceptron-without-oil-csv",
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    {
      "ref": "towever/devfest",
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    {
      "ref": "loveall/all-csv-files-a-glance",
      "votes": 1
    },
    {
      "ref": "captcalculator/variation-on-dseverything-s-ets-starter-script",
      "votes": 9
    },
    {
      "ref": "sudosudoohio/average-per-month-then-caculate-mean-of-four-ends",
      "votes": 1
    },
    {
      "ref": "daniluvatar/persisten-forecast-performance-baseline-notebook",
      "votes": 0
    },
    {
      "ref": "daniluvatar/persistent-forecast-performance-baseline",
      "votes": 0
    },
    {
      "ref": "loveall/nine-regressors-gokagglers",
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    },
    {
      "ref": "hemantnyadav/randomforestregressor-without-oil-csv",
      "votes": 3
    },
    {
      "ref": "sunnybangale/finding-overlap-between-train-and-test-datasets",
      "votes": 0
    },
    {
      "ref": "gauravlingwal007/forecasting-grocery-sales",
      "votes": 4
    },
    {
      "ref": "loveall/grocery-eda-dirty-xgboost-arima-ets-prophet-gk",
      "votes": 11
    },
    {
      "ref": "loveall/favorita-analytics",
      "votes": 0
    },
    {
      "ref": "npa02012/mean-baseline-lb-59-translated-to-r",
      "votes": 6
    },
    {
      "ref": "rosejk/ml-project",
      "votes": 0
    },
    {
      "ref": "sohinibhattacharya86/predict-grocery-sales-rf-xgb",
      "votes": 88
    },
    {
      "ref": "ericdfr/new-items-in-stores",
      "votes": 10
    },
    {
      "ref": "tarobxl/how-the-test-set-is-split-lb-0-532",
      "votes": 35
    },
    {
      "ref": "tkm2261/bigquery-sql-reproducing-paulo-pinto-s-lb-0-529",
      "votes": 13
    },
    {
      "ref": "paulorzp/log-ma-and-days-of-week-means-lb-0-529",
      "votes": 269
    },
    {
      "ref": "tarobxl/ma-for-each-day-lb-0-537",
      "votes": 32
    },
    {
      "ref": "rahavendranmohandass/notebook033d0568ec",
      "votes": 0
    },
    {
      "ref": "cjolley/xgboost-model-in-r-with-puzzling-results",
      "votes": 4
    },
    {
      "ref": "paulorzp/log-means-and-medians-to-predict-new-itens-0-546",
      "votes": 18
    },
    {
      "ref": "tauseefkhan/holiday-events-analysis-work-in-progress",
      "votes": 0
    },
    {
      "ref": "nishant4k/time-series-lb-0-558",
      "votes": 0
    },
    {
      "ref": "tkm2261/bigquery-kaggle-tutorial-with-lb-0-59-and-0-546",
      "votes": 14
    },
    {
      "ref": "johnmisquita/sales-forecaster",
      "votes": 0
    },
    {
      "ref": "ekami66/tables-merging",
      "votes": 10
    },
    {
      "ref": "alijs1/prophet-example-for-time-series-predictions",
      "votes": 5
    },
    {
      "ref": "domcastro/log-moving-averages-forecasting-lb-0-547",
      "votes": 2
    },
    {
      "ref": "sidshady/transactions-per-year-per-month-comparison",
      "votes": 3
    },
    {
      "ref": "marcos19araujo/the-best-products-to-be-reach",
      "votes": 0
    },
    {
      "ref": "ceshine/parse-holiday-data",
      "votes": 7
    },
    {
      "ref": "paulorzp/log-moving-averages-forecasting-lb-0-546",
      "votes": 133
    },
    {
      "ref": "ldreano/read-train-csv-with-a-condition",
      "votes": 0
    },
    {
      "ref": "tusharraman/sales-forecast",
      "votes": 2
    },
    {
      "ref": "ceshine/simple-knn-baseline",
      "votes": 22
    },
    {
      "ref": "rloury/test-with-neural-network",
      "votes": 7
    },
    {
      "ref": "thepathofd/a-first-kaggle-part-1-forecasting-store-47",
      "votes": 152
    },
    {
      "ref": "franciscadias/weekends-at-favorita-eda-analysis",
      "votes": 9
    },
    {
      "ref": "loveall/read-data-for-low-memory-usagesk",
      "votes": 1
    },
    {
      "ref": "clarkchong/fan-fei-s-grocery-understanding-lightgbm",
      "votes": 1
    },
    {
      "ref": "paulorzp/mean-log-with-pandas-only-lb-0-558",
      "votes": 36
    },
    {
      "ref": "rajuspartan/store-wise-and-product-category-wise-analysis",
      "votes": 6
    },
    {
      "ref": "domcastro/mean-baseline-lb-59",
      "votes": 3
    },
    {
      "ref": "deeplake/favorita-grocery-data-analysis-model-test",
      "votes": 9
    },
    {
      "ref": "noordk/week-by-week-data",
      "votes": 1
    },
    {
      "ref": "kunalkotian/easily-load-train-csv-w-o-crash-save-feather-file",
      "votes": 89
    },
    {
      "ref": "rloury/sales-prevision-lstm",
      "votes": 65
    },
    {
      "ref": "deenaliz/master-dataset-with-basic-eda-ready-for-analysis",
      "votes": 5
    },
    {
      "ref": "loveall/shopping-for-insights-favorita-eda",
      "votes": 2
    },
    {
      "ref": "anjukan/exploratory-data-analysis-for-sales-forecasting",
      "votes": 23
    },
    {
      "ref": "ekami66/python-eda-with-few-interactive-graphs",
      "votes": 26
    },
    {
      "ref": "ericdfr/transactions",
      "votes": 5
    },
    {
      "ref": "tsdaemon/mapreduce-for-batch-processing-of-a-big-dataset",
      "votes": 28
    },
    {
      "ref": "gmanjunath/favorita-analytics",
      "votes": 8
    },
    {
      "ref": "sakira/what-to-buy-from-the-grocery",
      "votes": 14
    },
    {
      "ref": "loveall/grocery-eda-dirty-xgboost-arima-ets-prophet",
      "votes": 0
    },
    {
      "ref": "loveall/mean-baselinesk-lb-59",
      "votes": 3
    },
    {
      "ref": "jagangupta/interactive-favorita-visualizations-dashboards",
      "votes": 14
    },
    {
      "ref": "captcalculator/a-very-extensive-favorita-exploratory-analysis",
      "votes": 158
    },
    {
      "ref": "tkm2261/eval-metric-and-evaluating-last-year-sales-bench",
      "votes": 4
    },
    {
      "ref": "paulorzp/one-line-mean-log-lb-0-622",
      "votes": 9
    },
    {
      "ref": "heyt0ny/read-data-for-low-memory-usage",
      "votes": 41
    },
    {
      "ref": "ceshine/mean-baseline-lb-59",
      "votes": 92
    },
    {
      "ref": "nakapoor/finding-best-selling-products",
      "votes": 17
    },
    {
      "ref": "armaan/comprehensive-favorita-analysis-groupby-d3",
      "votes": 3
    },
    {
      "ref": "nilzone/eda-for-grocery-sales-forecasting",
      "votes": 20
    },
    {
      "ref": "dongxu027/time-series-ets-starter-lb-0-556",
      "votes": 79
    },
    {
      "ref": "jeru666/simple-exploration-visualization-notebook",
      "votes": 18
    },
    {
      "ref": "nilzone/eda-on-grocery-sales-forecasting",
      "votes": 0
    },
    {
      "ref": "jeru666/all-csv-files-a-glance",
      "votes": 33
    },
    {
      "ref": "joconnor/eat-the-benchmark-lb-0-669",
      "votes": 22
    },
    {
      "ref": "kausik123/corporaci-n-favorita-grocery-sales-forecasting",
      "votes": 5
    },
    {
      "ref": "victorgrobberio/visualizing-smelling-and-feeling-business-data",
      "votes": 68
    },
    {
      "ref": "ranandiitk/analysis-grocery-sales-forecasting",
      "votes": 8
    },
    {
      "ref": "arthurtok/comprehensive-python-and-d3-js-favorita-analytics",
      "votes": 503
    },
    {
      "ref": "viveksrinivasan/reading-random-subset-of-rows-in-train-csv",
      "votes": 9
    },
    {
      "ref": "bala2728/predicting-the-sales",
      "votes": 1
    },
    {
      "ref": "juanumusic/tidy-notebook-and-deep-analysis",
      "votes": 53
    },
    {
      "ref": "hireme/do-you-like-random",
      "votes": 4
    },
    {
      "ref": "ambarish/grocery-eda-dirty-xgboost-arima-ets-prophet",
      "votes": 95
    },
    {
      "ref": "asindico/sales-forecasting-eda",
      "votes": 19
    },
    {
      "ref": "jagangupta/memory-optimization-and-eda-on-entire-dataset",
      "votes": 160
    },
    {
      "ref": "paulorzp/one-line-median-lb-0-650",
      "votes": 49
    },
    {
      "ref": "rwexler/eda-for-grocery-sales-forecasting",
      "votes": 83
    },
    {
      "ref": "puremath86/clean-up-on-aisle-4",
      "votes": 5
    },
    {
      "ref": "headsortails/shopping-for-insights-favorita-eda",
      "votes": 972
    },
    {
      "ref": "saivarunk/eda-on-grocery-sales-forecasting",
      "votes": 3
    },
    {
      "ref": "inversion/dataframe-with-all-date-store-item-combinations",
      "votes": 49
    },
    {
      "ref": "inversion/last-year-s-sales-benchmark",
      "votes": 10
    },
    {
      "ref": "clarkchong/fan-fei-s-grocery-understanding-mean-baseline",
      "votes": 3
    }
  ]
}