{
  "source": "live Code list",
  "fetched_at": "2026-10-20T02:36:24Z",
  "count": 516,
  "complete": true,
  "items": [
    {
      "ref": "evgendvorkin/covid19-privat-1-67644",
      "votes": 5
    },
    {
      "ref": "liusunju/covid19-global-forecasting-for-begginer-week-2",
      "votes": 2
    },
    {
      "ref": "claraliu888888/covid-19-w2-lgb-mad",
      "votes": 1
    },
    {
      "ref": "namhoang27/covid-19-eda-lstm",
      "votes": 0
    },
    {
      "ref": "rekhav19bce1871/review-1",
      "votes": 0
    },
    {
      "ref": "oualidkhalis/covid19-forecasting-using-arima-ar-model-rf",
      "votes": 20
    },
    {
      "ref": "nouhailanassib/module-choix",
      "votes": 1
    },
    {
      "ref": "prakashvm/notebook6dce06d71f",
      "votes": 0
    },
    {
      "ref": "mananjethwani/covid-19-effect-of-temperature-humidity",
      "votes": 5
    },
    {
      "ref": "sateeshkumarc/covid-19-global-forcasting-week2",
      "votes": 0
    },
    {
      "ref": "arpitkhedekar/notebook31057b4f0a",
      "votes": 2
    },
    {
      "ref": "tejalsarvade/covidcases",
      "votes": 2
    },
    {
      "ref": "wangpiaohong/rnn-scut",
      "votes": 3
    },
    {
      "ref": "abhiparashar/eda-covid-19-notebook-3-effect-on-temperature",
      "votes": 18
    },
    {
      "ref": "hakimnasaoui/decision-tree-regression-with-adaboost",
      "votes": 1
    },
    {
      "ref": "arnadu/seirf-piecewise-linear-contact-rate-lmfit",
      "votes": 1
    },
    {
      "ref": "peterconvery/kernel2e221b2364",
      "votes": 1
    },
    {
      "ref": "niibruce/kernele16aa95755",
      "votes": 0
    },
    {
      "ref": "celiamorgan/what-to-do",
      "votes": 1
    },
    {
      "ref": "eleanorwright/covid-w2-preds",
      "votes": 0
    },
    {
      "ref": "clairvoyanto/id5059-final",
      "votes": 1
    },
    {
      "ref": "sofiemas/kernel50c7c69433",
      "votes": 0
    },
    {
      "ref": "sofiemas/kernel694e16f754",
      "votes": 0
    },
    {
      "ref": "alex094495/covid19-global-forecasting-lstm-may-13-by-dahai",
      "votes": 0
    },
    {
      "ref": "zongyanj/kernel4912eb4dbe",
      "votes": 1
    },
    {
      "ref": "adil10743/kernel-covid",
      "votes": 0
    },
    {
      "ref": "ianmckenzie/test-submission",
      "votes": 0
    },
    {
      "ref": "zionxu/kernel7c850b0e60",
      "votes": 0
    },
    {
      "ref": "leticijadubickait/make-output",
      "votes": 0
    },
    {
      "ref": "kylejuderodrigues/kernel64ecaf6370",
      "votes": 0
    },
    {
      "ref": "ccdoong/kernel5f11c4b06f",
      "votes": 0
    },
    {
      "ref": "pk50st/last-version",
      "votes": 3
    },
    {
      "ref": "latoadeoye/update-covid19-kernel",
      "votes": 0
    },
    {
      "ref": "solyoh21/covid-global-forecast",
      "votes": 3
    },
    {
      "ref": "arnadu/sir-local-calibration-dashboard",
      "votes": 2
    },
    {
      "ref": "arnadu/sir-local-calibration-hospitalization",
      "votes": 1
    },
    {
      "ref": "gaborfodor/covid19-submission-analysis",
      "votes": 3
    },
    {
      "ref": "atompg/sir-india",
      "votes": 1
    },
    {
      "ref": "wilk258/beginner-corona-eda-and-prophet-modeling",
      "votes": 0
    },
    {
      "ref": "arnadu/sir-local-calibration",
      "votes": 1
    },
    {
      "ref": "simonpetertandi/kaggleassignment",
      "votes": 0
    },
    {
      "ref": "arnadu/sir-with-intervention-v2",
      "votes": 1
    },
    {
      "ref": "keyehang/covid-19-forecasting-with-an-rnn",
      "votes": 2
    },
    {
      "ref": "marcusgawronsky/covid-19-dealing-with-government-policy",
      "votes": 1
    },
    {
      "ref": "bishal78/bangladesh-covid-19-analysis-and-forecasting",
      "votes": 0
    },
    {
      "ref": "jacksmd12/problem-2-covid19-global-forecasting",
      "votes": 2
    },
    {
      "ref": "gaborfodor/covid19-global-forecasting-top-submissions",
      "votes": 30
    },
    {
      "ref": "kunal00031/covid-19-eda-analysis-visualization",
      "votes": 1
    },
    {
      "ref": "abhi0787/in-the-aftermath-of-covid-19-w2",
      "votes": 0
    },
    {
      "ref": "swami84/kernel1e2ebb0650",
      "votes": 0
    },
    {
      "ref": "smueez/bangladesh-covid-19-analysis-and-forecasting",
      "votes": 4
    },
    {
      "ref": "mobassir/covid-19-in-bangladesh",
      "votes": 32
    },
    {
      "ref": "atultaur/covid-19-forecasting",
      "votes": 0
    },
    {
      "ref": "ruzgol/mathematical-solution-to-sigmoid-parameters",
      "votes": 0
    },
    {
      "ref": "solyoh21/covid-global-forecast-r",
      "votes": 3
    },
    {
      "ref": "ukveteran/sarima-time-series-eda-predict-jma-covid19-w2",
      "votes": 1
    },
    {
      "ref": "ukveteran/prophet-python-jma-covid19-week-2",
      "votes": 2
    },
    {
      "ref": "mlanier/covid-rca-caret",
      "votes": 0
    },
    {
      "ref": "solyoh21/covid-global-forecast-sir-model-ml-regre-2e38c1",
      "votes": 1
    },
    {
      "ref": "andreyostrast/covid-19-eda-with-recent-update-on-april",
      "votes": 4
    },
    {
      "ref": "robertmarsland/covid-19-predictions-with-model-of-vazquez-2006",
      "votes": 0
    },
    {
      "ref": "pletzer/sickdays",
      "votes": 1
    },
    {
      "ref": "cpmpml/fatalities-prediction-via-linear-regression",
      "votes": 49
    },
    {
      "ref": "vrajjigna/covid-global-forecast-sir-model-ml-regressions",
      "votes": 0
    },
    {
      "ref": "alicemozkara/cov-v",
      "votes": 2
    },
    {
      "ref": "andreyostrast/covid-19-global-forecasting-2",
      "votes": 0
    },
    {
      "ref": "vishrutikaria/vishruti-karia",
      "votes": 0
    },
    {
      "ref": "siddheshpujari/covid19-global-forecasting",
      "votes": 5
    },
    {
      "ref": "vrro620/vaibhav620",
      "votes": 1
    },
    {
      "ref": "pstarszyk/population-densities-pop-km2",
      "votes": 2
    },
    {
      "ref": "skeller/covid-19-a-few-charts-and-a-simple-baseline",
      "votes": 1
    },
    {
      "ref": "luweijia2heather/fork-of-fork-of-heathernocov-07ba0a",
      "votes": 2
    },
    {
      "ref": "jeploretizo/kernelc8991c13e9",
      "votes": 0
    },
    {
      "ref": "saurabhbhogale/fork-of-kernel3178b29c7e",
      "votes": 1
    },
    {
      "ref": "skeller/arima-for-forecasting-competitor-in-week-2",
      "votes": 1
    },
    {
      "ref": "mystery/seir-hcd-model",
      "votes": 3
    },
    {
      "ref": "saurabhbhogale/kernel3178b29c7e",
      "votes": 1
    },
    {
      "ref": "aerdem4/covid19-w2-final-v2",
      "votes": 68
    },
    {
      "ref": "therealroman/kernel5a0e8d9b45",
      "votes": 0
    },
    {
      "ref": "keedong/covid19-exponential-model2-kee",
      "votes": 1
    },
    {
      "ref": "muhakabartay/covid-19-a-few-charts-and-a-simple-baseline-f03715",
      "votes": 12
    },
    {
      "ref": "deepaksadulla/forecast-using-r-2020-04-02",
      "votes": 1
    },
    {
      "ref": "zumbov/corona2",
      "votes": 0
    },
    {
      "ref": "vidyagupta/kernel71c1522358",
      "votes": 0
    },
    {
      "ref": "tunguz/covid-19-a-few-charts-and-a-simple-baseline",
      "votes": 9
    },
    {
      "ref": "aerdem4/covid19-w2-final",
      "votes": 1
    },
    {
      "ref": "luweijia2heather/fork-of-heathernocov-07ba0a",
      "votes": 1
    },
    {
      "ref": "oksanasem/covid19-eda-interactive-plots-xgboost",
      "votes": 0
    },
    {
      "ref": "vbmokin/covid19-week-2-sir-model-ridge-regr",
      "votes": 23
    },
    {
      "ref": "utpalmahato/kernel7e421b7851",
      "votes": 1
    },
    {
      "ref": "mm1931/covid-19-week-2-xgboost-lightgbm",
      "votes": 3
    },
    {
      "ref": "pietromarinelli/new-pp-double-model-public-private",
      "votes": 4
    },
    {
      "ref": "stecasasso/blend",
      "votes": 0
    },
    {
      "ref": "robertolandi/kernel75823d3961",
      "votes": 0
    },
    {
      "ref": "sasrdw/gbt1u",
      "votes": 1
    },
    {
      "ref": "philippsinger/cv19w2-pl4-sub",
      "votes": 21
    },
    {
      "ref": "franlopezguzman/covid19-2-minimal-polynomial-regressor",
      "votes": 1
    },
    {
      "ref": "jaehooncha/submitweek2",
      "votes": 0
    },
    {
      "ref": "janosk21/covid-19-basic-model-not-leaky",
      "votes": 0
    },
    {
      "ref": "vishwajeetjadeja/covid19-global-forecast",
      "votes": 0
    },
    {
      "ref": "dott1718/cv19w2-2-sub",
      "votes": 27
    },
    {
      "ref": "shantanu1118/global-forecasting-covid19",
      "votes": 0
    },
    {
      "ref": "magnuslarsson/kernel43f96abf19",
      "votes": 1
    },
    {
      "ref": "ricardorios/world-holt",
      "votes": 0
    },
    {
      "ref": "chrisholmes1/covid-19-week-2-notebook",
      "votes": 0
    },
    {
      "ref": "aryehg/covid-forecast-with-govt-interventions",
      "votes": 3
    },
    {
      "ref": "shivkantsharma/kernel268b403b59",
      "votes": 0
    },
    {
      "ref": "stepstosuccess/ummmmm",
      "votes": 0
    },
    {
      "ref": "smalldog3/kernel20b1b40b61",
      "votes": 0
    },
    {
      "ref": "smalldog3/covid19-forcast-test",
      "votes": 0
    },
    {
      "ref": "akaash/covid-19-week-2-forcasting",
      "votes": 7
    },
    {
      "ref": "briansynthetaic/synthetaicai-week2-submission",
      "votes": 0
    },
    {
      "ref": "ankitasharma0921/fork-of-kernel656e26b169-c7cb00",
      "votes": 0
    },
    {
      "ref": "muhammad4hmed/getting-into-top-ranks-very-easily",
      "votes": 8
    },
    {
      "ref": "sawantvishwajeet729/corona-using-time-series",
      "votes": 0
    },
    {
      "ref": "robertmarsland/fork-of-covid-19-spreads-as-power-of-elapsed-time",
      "votes": 7
    },
    {
      "ref": "robikscube/rob-s-covid19-week-2-submission-less-aggressive",
      "votes": 6
    },
    {
      "ref": "parmenidas/gaussian-approx",
      "votes": 0
    },
    {
      "ref": "chvbs2000/curve-fitting-ac06c3",
      "votes": 0
    },
    {
      "ref": "vtaquet/week-2-logistic-regression",
      "votes": 1
    },
    {
      "ref": "debanga/covid-19-week2-eda",
      "votes": 3
    },
    {
      "ref": "ankt24/covid-eda-lin-reg-week2",
      "votes": 0
    },
    {
      "ref": "mahmudds/covid19-global-forecasting-week-2",
      "votes": 6
    },
    {
      "ref": "shakshisharma/kernel2b2102131c",
      "votes": 0
    },
    {
      "ref": "gurubh/kernel798455a278",
      "votes": 0
    },
    {
      "ref": "sayan341/latent-component-model-v2-covid-19",
      "votes": 0
    },
    {
      "ref": "johnjdavisiv/covid-week-2-submission",
      "votes": 0
    },
    {
      "ref": "regismagnus/covid19-week2",
      "votes": 0
    },
    {
      "ref": "meetdoshi996/global-covid19-forecast",
      "votes": 3
    },
    {
      "ref": "williamsabodunrin/kernel67c2de8f36",
      "votes": 0
    },
    {
      "ref": "sasrdw/gbt1n",
      "votes": 2
    },
    {
      "ref": "hemilshah/arima-final",
      "votes": 0
    },
    {
      "ref": "johnjdavisiv/gamm-competition-submission-for-week-2",
      "votes": 0
    },
    {
      "ref": "davidistrati/arima-week-2",
      "votes": 2
    },
    {
      "ref": "kimberlyvan/covid-19-global-forecasting-wk-2",
      "votes": 1
    },
    {
      "ref": "testtrained/covid-19-eda-with-recent-update-on-march",
      "votes": 2
    },
    {
      "ref": "pradeepmuniasamy/4ver-arima-2ver-xgboost-newbie",
      "votes": 0
    },
    {
      "ref": "rejpalcz/sars-cov-2-exponential-model-week-2",
      "votes": 2
    },
    {
      "ref": "lilylong/kernel139c05055c",
      "votes": 0
    },
    {
      "ref": "yaroshevskiy/sars-cov-2-exponential-model-week-2",
      "votes": 0
    },
    {
      "ref": "petersorensen360/kernel6984e17e21",
      "votes": 1
    },
    {
      "ref": "khamalking/covid-19-forecasting-for-india-using-fbprophet",
      "votes": 3
    },
    {
      "ref": "hikne707/covid-19-global-forecasting-w2",
      "votes": 0
    },
    {
      "ref": "bastienhaller/testrun",
      "votes": 0
    },
    {
      "ref": "skeller/covid19-lightgbm",
      "votes": 1
    },
    {
      "ref": "gaborfodor/covid-19-a-few-charts-and-a-simple-baseline",
      "votes": 76
    },
    {
      "ref": "vishvambarpanth/kernel463e140e39",
      "votes": 0
    },
    {
      "ref": "fraserew/covid-19-lstm-cases-fatalities-prediction",
      "votes": 3
    },
    {
      "ref": "rukminiprasad/kernel355022f345",
      "votes": 0
    },
    {
      "ref": "singh16ananya/kernel785c407068",
      "votes": 0
    },
    {
      "ref": "cpmpml/lr-010",
      "votes": 6
    },
    {
      "ref": "jordimas/sir-models-fitted-with-differential-evolution",
      "votes": 2
    },
    {
      "ref": "syedhamzahussain/covid19-forecasting-using-rnn",
      "votes": 0
    },
    {
      "ref": "petersorensen360/kernel40c24c2269",
      "votes": 0
    },
    {
      "ref": "aerdem4/covid-w2-nn-submission",
      "votes": 1
    },
    {
      "ref": "kazanova/gbr-train",
      "votes": 2
    },
    {
      "ref": "robertmarsland/covid-19-predictor-using-power-law-model",
      "votes": 5
    },
    {
      "ref": "halimtannous/kernel44eafcfb13",
      "votes": 1
    },
    {
      "ref": "eugenedobrovolskyi/evgdobr-covid19-w2-ensemble",
      "votes": 0
    },
    {
      "ref": "nikolayanikolaev/copy-covid-19-global-forecasting-2",
      "votes": 0
    },
    {
      "ref": "kazanova/gr1621-v2",
      "votes": 19
    },
    {
      "ref": "preeteshverma/covid-19-eda-and-forecasting",
      "votes": 3
    },
    {
      "ref": "williamsabodunrin/kernel1c65daac22",
      "votes": 0
    },
    {
      "ref": "meenakshiramaswamy/wk2-covid-rf",
      "votes": 8
    },
    {
      "ref": "resheto/covid-19-prediction-of-deltas-using-extended-data",
      "votes": 6
    },
    {
      "ref": "czyum26/covid-19-forecasting-using-elasticnet",
      "votes": 1
    },
    {
      "ref": "ebbygorg/covid-global-forecast-sir-model-ml-regressions",
      "votes": 1
    },
    {
      "ref": "edonlon/covid19-visualisations",
      "votes": 4
    },
    {
      "ref": "janosk21/covid-19-forecasting-lstm-v1",
      "votes": 2
    },
    {
      "ref": "ajaysamp/covid-19-xgboost",
      "votes": 3
    },
    {
      "ref": "pietromarinelli/double-model-public-private",
      "votes": 4
    },
    {
      "ref": "raulmuliana/forecasting-global-covig19-polynomial-regression",
      "votes": 4
    },
    {
      "ref": "nxpnsv/covid19-week2",
      "votes": 1
    },
    {
      "ref": "gkhazen/kernel761a2fbc11",
      "votes": 2
    },
    {
      "ref": "ebbygorg/covid-19-week-2-xgboost-lightgbm",
      "votes": 0
    },
    {
      "ref": "ebbygorg/sars-cov-2-exponential-model-week-2",
      "votes": 0
    },
    {
      "ref": "hotstaff/logistic-function-fitting",
      "votes": 0
    },
    {
      "ref": "divyacn/covid-19-using-random-forest",
      "votes": 0
    },
    {
      "ref": "shamsvahid2/covid-week2-version2",
      "votes": 0
    },
    {
      "ref": "liangpang/prediction-week2",
      "votes": 0
    },
    {
      "ref": "rohitmidha23/covid2-attempt2",
      "votes": 1
    },
    {
      "ref": "ebbygorg/4ver-arima-2ver-xgboost-newbie",
      "votes": 1
    },
    {
      "ref": "leelamanasa/covid19-global-forecasting-prediction",
      "votes": 2
    },
    {
      "ref": "aksh23/kernel231a0c7f1a",
      "votes": 0
    },
    {
      "ref": "phenixhello/covid-19-global-forecasting-models-hyperparameter",
      "votes": 0
    },
    {
      "ref": "anirudha16101/covid19-forecasting",
      "votes": 0
    },
    {
      "ref": "junsukim6361/sarima",
      "votes": 0
    },
    {
      "ref": "danevans/covid-19-global-week-2-logistic-curve-fitting",
      "votes": 0
    },
    {
      "ref": "letili0417/covid-19-week-2-xgboost",
      "votes": 2
    },
    {
      "ref": "skyhuang/curve-fitting",
      "votes": 1
    },
    {
      "ref": "saikrishnakowda/covid-19-analysis",
      "votes": 0
    },
    {
      "ref": "kaggleid123456789/kernel2299838b15",
      "votes": 1
    },
    {
      "ref": "arnadu/sir-interv-calib-on-hospitalization-fatalities",
      "votes": 2
    },
    {
      "ref": "desaigeet96/kernel7a1b5b4321",
      "votes": 0
    },
    {
      "ref": "vanessapanchal/kernel3f26667f38",
      "votes": 0
    },
    {
      "ref": "cliftonbaldwin/exponentialgrowth",
      "votes": 0
    },
    {
      "ref": "ericfreeman/kernel436b72c212",
      "votes": 1
    },
    {
      "ref": "cesarmharata/predict-and-classify-by-groups-of-quarentine",
      "votes": 0
    },
    {
      "ref": "h22222h/forecasting-the-covid-19-w-polynomial-regression",
      "votes": 0
    },
    {
      "ref": "kowjan1/xgboost-previous-days-and-special-days",
      "votes": 0
    },
    {
      "ref": "panagiotisgkanos/kernel259937fb22",
      "votes": 2
    },
    {
      "ref": "liangxuatgroningen/the-government-reaction-plays-a-role",
      "votes": 3
    },
    {
      "ref": "chemicaltoilet/covid-week2",
      "votes": 3
    },
    {
      "ref": "jacklbruck/kernel559e7ebe1e",
      "votes": 0
    },
    {
      "ref": "muhakabartay/sars-cov-2-exponential-model-week-2",
      "votes": 10
    },
    {
      "ref": "giginghn/covid19-analysis-eda-seir-model-predictions",
      "votes": 29
    },
    {
      "ref": "alicuye/covid-global-forecast-baseline-by-ling",
      "votes": 0
    },
    {
      "ref": "lzhu88/covid-week-2",
      "votes": 2
    },
    {
      "ref": "woodyshi/covid-19-data-visualization-and-prediction",
      "votes": 0
    },
    {
      "ref": "peranto/using-population-data",
      "votes": 0
    },
    {
      "ref": "nboukraa/exponential-smoothing-damped-multiplicative-trend",
      "votes": 1
    },
    {
      "ref": "charlesxjyang/covid19-global-forecasts-using-probabilistic-rnns",
      "votes": 2
    },
    {
      "ref": "modoucair/exp-vs-logi-best-fit",
      "votes": 3
    },
    {
      "ref": "dgrechka/submission-compiler",
      "votes": 1
    },
    {
      "ref": "oksanasem/data-prep",
      "votes": 0
    },
    {
      "ref": "lollcat/logistic",
      "votes": 0
    },
    {
      "ref": "syedhamzahussain/covid19-week2-mix",
      "votes": 0
    },
    {
      "ref": "skeller/rolling-grip",
      "votes": 2
    },
    {
      "ref": "mehvishashiq/covid19-global-forecasting-w-2",
      "votes": 0
    },
    {
      "ref": "shantanu1118/g-f-week2",
      "votes": 0
    },
    {
      "ref": "arnadu/sir-with-intervention",
      "votes": 15
    },
    {
      "ref": "anil4274/covid-19-forecasting",
      "votes": 2
    },
    {
      "ref": "robertmarsland/covid-19-spreads-as-power-of-elapsed-time",
      "votes": 17
    },
    {
      "ref": "avnikabhati/covid19-week-2-exponentialsmoothing",
      "votes": 5
    },
    {
      "ref": "mdmahmudferdous/covid-19-global-forecasting-2",
      "votes": 24
    },
    {
      "ref": "worldkeeping/week2-global-one-layer",
      "votes": 1
    },
    {
      "ref": "atamazian/covid-19-week-2-xgboost-lightgbm",
      "votes": 1
    },
    {
      "ref": "sadeka007/wk2-covid-19-global-forecasting",
      "votes": 1
    },
    {
      "ref": "haricharanbk/corona-fatality-and-confirmed-cases-prediction",
      "votes": 2
    },
    {
      "ref": "caodai/c200331",
      "votes": 0
    },
    {
      "ref": "osciiart/smoking-kills",
      "votes": 0
    },
    {
      "ref": "jmtopple/jesscovid19kernel",
      "votes": 0
    },
    {
      "ref": "skeller/lgb-clone",
      "votes": 1
    },
    {
      "ref": "andrewcharles/forecasting-week-2",
      "votes": 1
    },
    {
      "ref": "gvsnikhilreddy/covid-19timeseriesmodel",
      "votes": 4
    },
    {
      "ref": "wenruipsu/submits",
      "votes": 0
    },
    {
      "ref": "letili0417/covid-19-eda-lstm-v1",
      "votes": 0
    },
    {
      "ref": "shrey821/covid-global-forecast-sir-model-ml-regressions",
      "votes": 6
    },
    {
      "ref": "uvinetz/week-2-submission",
      "votes": 21
    },
    {
      "ref": "amineteffal/simple-arima-model",
      "votes": 0
    },
    {
      "ref": "ravirajsinh45/covid19-forecasting-using-rnn",
      "votes": 14
    },
    {
      "ref": "stecasasso/seir-hcd-model",
      "votes": 1
    },
    {
      "ref": "bpavlyshenko/bayesian-model-for-covid-19-spread-prediction",
      "votes": 36
    },
    {
      "ref": "shivendrakaura/kernel24ab6a3442",
      "votes": 0
    },
    {
      "ref": "kagglesumanlm10/kernel4b65821241",
      "votes": 0
    },
    {
      "ref": "clarinetex/covid-19-starter-visualization-lstm-predictions",
      "votes": 0
    },
    {
      "ref": "fmobrj1975/model-inference-2day",
      "votes": 1
    },
    {
      "ref": "marcusgawronsky/covid-19-global-spatial-regression-model",
      "votes": 9
    },
    {
      "ref": "mohammadtraboulsi/covid-19-spread-and-effect-of-delay",
      "votes": 0
    },
    {
      "ref": "sudhamshsuraj/kernel5655112544",
      "votes": 0
    },
    {
      "ref": "sudiptapurkayastha/covid19-forecasting",
      "votes": 0
    },
    {
      "ref": "fmobrj1975/deep-2-day-out",
      "votes": 1
    },
    {
      "ref": "blackmantis/covid19-week2-dt-model",
      "votes": 25
    },
    {
      "ref": "luisverc/simple-exponential-extrapolations",
      "votes": 2
    },
    {
      "ref": "sakethaux/covid-19-week-2-predictions",
      "votes": 0
    },
    {
      "ref": "nicolashbt/covid19-a-data-visualization-approach",
      "votes": 11
    },
    {
      "ref": "sixteenpython/covid-19-transmission-rates-and-factors-w2",
      "votes": 0
    },
    {
      "ref": "sudhamshsuraj/kernel196d7fff6c",
      "votes": 0
    },
    {
      "ref": "rohanrao7/covid-19-pandemic-forecasting-using-xgboost",
      "votes": 1
    },
    {
      "ref": "sayan341/latent-component-model-covid-19",
      "votes": 2
    },
    {
      "ref": "carloslira/covid19-mexico-sir-map-with-geopandas",
      "votes": 2
    },
    {
      "ref": "pritha21/covid-19-week-2-forecasting",
      "votes": 1
    },
    {
      "ref": "sangram185/using-random-forest-regressor",
      "votes": 0
    },
    {
      "ref": "mohitesh07/fork-of-kernel402aed056d-450424",
      "votes": 1
    },
    {
      "ref": "joemenifee/usa-analysis",
      "votes": 0
    },
    {
      "ref": "mohitesh07/fork-of-kernel402aed056d",
      "votes": 0
    },
    {
      "ref": "samlester/covid-19-eda-lstm",
      "votes": 0
    },
    {
      "ref": "lawrencechen98/covid-19-exponential-decay-forecast-and-analysis",
      "votes": 1
    },
    {
      "ref": "neilde/covid-19-eda-lstm",
      "votes": 7
    },
    {
      "ref": "aakashg1999/graphing",
      "votes": 0
    },
    {
      "ref": "swatibansal08/covid19-global-forecasting-lstm",
      "votes": 11
    },
    {
      "ref": "pararols/sars-cov-2-exponential-model-week-2",
      "votes": 0
    },
    {
      "ref": "tunguz/simple-covid-19-global-eda-week-2",
      "votes": 2
    },
    {
      "ref": "jasonbenner/fork-of-1d-cnn-redo",
      "votes": 1
    },
    {
      "ref": "paoloinglese/simple-gam-model",
      "votes": 4
    },
    {
      "ref": "begehr/leocorona",
      "votes": 1
    },
    {
      "ref": "dropries/coronavirus-w2",
      "votes": 0
    },
    {
      "ref": "nsaleille/06-global-gradientboostingregressor-enriched",
      "votes": 0
    },
    {
      "ref": "amezet/covid-19-global-forecast-seir-visualize-math",
      "votes": 8
    },
    {
      "ref": "kashish2801/covid-19-week-2",
      "votes": 1
    },
    {
      "ref": "enric1296/covid-the-power-of-representations-rnn",
      "votes": 5
    },
    {
      "ref": "keerthivikram/covid-19-week-2",
      "votes": 1
    },
    {
      "ref": "joljol/covid19-lstm-embedding-for-latent-info-on-country",
      "votes": 0
    },
    {
      "ref": "abhia1999/kernel4d158f4665",
      "votes": 0
    },
    {
      "ref": "cpthappy/fork-of-test-exploration",
      "votes": 0
    },
    {
      "ref": "fmobrj1975/first-model-inference",
      "votes": 1
    },
    {
      "ref": "nsaleille/global-randomforestclassifier-enriched-finetuned",
      "votes": 0
    },
    {
      "ref": "neilde/sars-cov-2-exponential-model-week-2",
      "votes": 3
    },
    {
      "ref": "gabrielmilan/covid-19-forecasting-with-lstm",
      "votes": 2
    },
    {
      "ref": "ravishankariyer/covid-19-xgboost",
      "votes": 1
    },
    {
      "ref": "liujialing2020/week2",
      "votes": 2
    },
    {
      "ref": "danielalexander17/fix-covid-global-2",
      "votes": 0
    },
    {
      "ref": "sanskrutipanda/covid-19-data-visualizations-with-plotly",
      "votes": 22
    },
    {
      "ref": "teyang/covid-19-interactive-eda-seir-d-model",
      "votes": 8
    },
    {
      "ref": "diamondsnake/covid-19-logistic-curve-fitting-week-2",
      "votes": 3
    },
    {
      "ref": "mehdi16/covid-19-week-2alternative",
      "votes": 0
    },
    {
      "ref": "nikolaivogl/kernel2f1104ccbc",
      "votes": 0
    },
    {
      "ref": "armanyusuf/forecasting-the-covid-19-w-polynomial-regression",
      "votes": 17
    },
    {
      "ref": "mactom1980/kernel1377906b6d",
      "votes": 0
    },
    {
      "ref": "chantalolieman/fhl2020",
      "votes": 0
    },
    {
      "ref": "eswarchandt/timeseries-forecasting-of-covid-19-week-2-arima",
      "votes": 92
    },
    {
      "ref": "nikschet/covid-19-prediction-by-country-gr-vs-pt",
      "votes": 0
    },
    {
      "ref": "lisphilar/combination-of-fitting-and-math-model-week2",
      "votes": 6
    },
    {
      "ref": "sharadkumarjayakumar/ensemble",
      "votes": 0
    },
    {
      "ref": "cjthedj/sir-models-fitted-to-data-optimistic",
      "votes": 2
    },
    {
      "ref": "divyacnambiar/covid19-forecasting-sarima",
      "votes": 1
    },
    {
      "ref": "manasmohapatra1998/covid19-week2-forecasting-using-xgboost",
      "votes": 14
    },
    {
      "ref": "nonstochastic147/covid-19-week-2",
      "votes": 1
    },
    {
      "ref": "jigyashusuraj/covid-19-prediction-using-python",
      "votes": 17
    },
    {
      "ref": "kamalnaithani/covid-19-forecast",
      "votes": 0
    },
    {
      "ref": "saksham123/velle-boys",
      "votes": 0
    },
    {
      "ref": "amoghjrules/covid-week-2",
      "votes": 1
    },
    {
      "ref": "akashsuper2000/arima-influenza-baselines-newbie",
      "votes": 0
    },
    {
      "ref": "akashsuper2000/sars-cov-2-exponential-model-week-2",
      "votes": 0
    },
    {
      "ref": "manasmohapatra1998/covid19-week2-forecasting-using-random-forest",
      "votes": 12
    },
    {
      "ref": "darshanjain29/working-solution-progressing-on-leaderboard",
      "votes": 14
    },
    {
      "ref": "eswarchandt/timeseries-forecasting-with-prophet",
      "votes": 13
    },
    {
      "ref": "sad9896/kernel216f463764",
      "votes": 0
    },
    {
      "ref": "eswarchandt/eda-covid-19-week-2",
      "votes": 5
    },
    {
      "ref": "ameya98/corona-prediction-cases",
      "votes": 0
    },
    {
      "ref": "kaleedfox/covid19-competition-week-2",
      "votes": 1
    },
    {
      "ref": "zains1/coronavirusforecasting",
      "votes": 0
    },
    {
      "ref": "skeller/lgbt-and-arima-with-influenza-baselines",
      "votes": 2
    },
    {
      "ref": "rhfall/using-government-response-data-to-predict-number-o",
      "votes": 2
    },
    {
      "ref": "apoorvm/rf-covid-19-2",
      "votes": 0
    },
    {
      "ref": "manasmohapatra1998/kernel67e3892b6d",
      "votes": 12
    },
    {
      "ref": "lnmkey68/kernel4af8e7b577",
      "votes": 0
    },
    {
      "ref": "girish01/time-series-model",
      "votes": 0
    },
    {
      "ref": "xscripter/kernel5a56ead524",
      "votes": 0
    },
    {
      "ref": "lcamposgarrido/covid-19",
      "votes": 1
    },
    {
      "ref": "nilanshk/covid-19-w2-try2",
      "votes": 2
    },
    {
      "ref": "janmejoy/covid19-week2-forecasting-using-random-forest",
      "votes": 9
    },
    {
      "ref": "robikscube/rob-s-covid19-week-2-submission",
      "votes": 3
    },
    {
      "ref": "lakshpri/covid19-global-forecasting-week2-forecast",
      "votes": 0
    },
    {
      "ref": "smartedaten/eda-we-should-focus-on-korea",
      "votes": 3
    },
    {
      "ref": "shamsvahid2/covid-week2-xgboost",
      "votes": 0
    },
    {
      "ref": "vasistgn/covid-19-prediction-with-adaboost-ensemble",
      "votes": 2
    },
    {
      "ref": "ilialar/logcurve",
      "votes": 1
    },
    {
      "ref": "nsaleille/global-randomforestclassifier-baseline",
      "votes": 0
    },
    {
      "ref": "yuzusan/initial-draft",
      "votes": 0
    },
    {
      "ref": "deeshantk/kernel6645fb0c31",
      "votes": 0
    },
    {
      "ref": "chriscc/covid-ab-optimization",
      "votes": 2
    },
    {
      "ref": "irfanazeem/covid19-eda-interactive-plots-xgboost",
      "votes": 4
    },
    {
      "ref": "hugoluo/sars-cov-2-exponential-model-week-2",
      "votes": 0
    },
    {
      "ref": "acasti55/covid19-prediction-example-with-sir-model-italy",
      "votes": 0
    },
    {
      "ref": "monnniil/covid-19-week-2-forecasting-monil-shah",
      "votes": 2
    },
    {
      "ref": "artem99/covid-19",
      "votes": 1
    },
    {
      "ref": "peranto/simple-xgb-lgb-random-forest",
      "votes": 3
    },
    {
      "ref": "dipesh17/xgbregressor",
      "votes": 7
    },
    {
      "ref": "mystery/covid-19-week-2-xgboost-lightgbm",
      "votes": 0
    },
    {
      "ref": "mauddib/covid-19-logistic-curve-fitting-and-submission",
      "votes": 8
    },
    {
      "ref": "sureshmecad/covid19-global-forecasting-week-2",
      "votes": 5
    },
    {
      "ref": "marcusgawronsky/covid-19-should-you-believe-confirmedcases",
      "votes": 2
    },
    {
      "ref": "amineteffal/scripts-aminos-week-2",
      "votes": 0
    },
    {
      "ref": "skeller/sars-cov-2-exponential-model-week-2",
      "votes": 1
    },
    {
      "ref": "serendipity09/revising-the-basics-with-covid-data",
      "votes": 12
    },
    {
      "ref": "paralleltree/covid19-simple-logistic-fitting",
      "votes": 0
    },
    {
      "ref": "pilipeykogrisha/covid-2019-xgboost-lgb-ply",
      "votes": 0
    },
    {
      "ref": "itsbitan/covid-19-analysis",
      "votes": 6
    },
    {
      "ref": "yohancheong/predicting-covid-19-infections-with-lstm",
      "votes": 27
    },
    {
      "ref": "dferhadi/logistic-curve-fit-parameter-tuning",
      "votes": 12
    },
    {
      "ref": "mauddib/kernel5ac11a8333",
      "votes": 2
    },
    {
      "ref": "taihsienouyang/covid19-week2-xgboost-log",
      "votes": 3
    },
    {
      "ref": "myh0307/covid-sarima",
      "votes": 0
    },
    {
      "ref": "katsukinagakubo/forecasting-covid19",
      "votes": 0
    },
    {
      "ref": "khoongweihao/covid-19-week-2-xgboost-lightgbm",
      "votes": 36
    },
    {
      "ref": "pdevine/covid-global-forecast-sir-model-ml-regressions",
      "votes": 0
    },
    {
      "ref": "hideshoyama/kernel31f4259a38",
      "votes": 0
    },
    {
      "ref": "thomastaus/kernel1fc3f3b55c",
      "votes": 0
    },
    {
      "ref": "vikraantpy/kernel54f00e992a",
      "votes": 2
    },
    {
      "ref": "hhtun21/predict-remaining-days-before-reaching-peak",
      "votes": 10
    },
    {
      "ref": "johnjdavisiv/gamms-for-covid19-prediction-leak-proof",
      "votes": 7
    },
    {
      "ref": "siddheshkadam/covid19-linear-regression",
      "votes": 9
    },
    {
      "ref": "xscripter/kernel28bfc1c377",
      "votes": 0
    },
    {
      "ref": "jowpereira/covid-19-brasil-prophet-lstm-bidirecional",
      "votes": 5
    },
    {
      "ref": "shashwats89/covid-19-week-2-compare",
      "votes": 0
    },
    {
      "ref": "dferhadi/covid-19-time-series-starter-code",
      "votes": 21
    },
    {
      "ref": "skeller/arima-influenza-baselines-9cc709",
      "votes": 1
    },
    {
      "ref": "sanasam/covid19-first-simple-code-submission",
      "votes": 4
    },
    {
      "ref": "udaypratapyati/covid-19-predict-state-province-wise",
      "votes": 9
    },
    {
      "ref": "durgaprasadk10/covid-forecast-dp",
      "votes": 4
    },
    {
      "ref": "varalakshmia/kernel60368d2f6f",
      "votes": 3
    },
    {
      "ref": "andregraubner/sir-models",
      "votes": 5
    },
    {
      "ref": "priteshshrivastava/2nd-week-prediction",
      "votes": 0
    },
    {
      "ref": "sulianova/covid-19-data-visualization-with-plotly",
      "votes": 23
    },
    {
      "ref": "mehdi16/covid-19-w2-lgbm-based-on-non-cumulative-data",
      "votes": 0
    },
    {
      "ref": "hakimnasaoui/covid19-global-forecasting-week-2",
      "votes": 7
    },
    {
      "ref": "baratheonr6/week-2-eda-and-non-leaky-modelling",
      "votes": 8
    },
    {
      "ref": "yilmazalp/covid19-2",
      "votes": 0
    },
    {
      "ref": "remiviloteau/simple-eda-covid-19",
      "votes": 0
    },
    {
      "ref": "rank23/kalman-filter-covid-19-t-1",
      "votes": 0
    },
    {
      "ref": "chrischow/week-2-submissions",
      "votes": 0
    },
    {
      "ref": "deshmane/covid19-eda-typical-curves",
      "votes": 1
    },
    {
      "ref": "priteshshrivastava/sars-cov-2-exponential-model-week-2",
      "votes": 0
    },
    {
      "ref": "lomen0857/covid-19-forecasting-with-rnn-lstm",
      "votes": 9
    },
    {
      "ref": "priteshshrivastava/arima-influenza-baselines",
      "votes": 0
    },
    {
      "ref": "lnmkey68/kernel17bb293b3f",
      "votes": 1
    },
    {
      "ref": "zumbov/corona",
      "votes": 0
    },
    {
      "ref": "flxschneider/covid-19-predictions",
      "votes": 0
    },
    {
      "ref": "nonserial/covid19-week-2-eda-using-worldbank-api-data",
      "votes": 11
    },
    {
      "ref": "algonell/covid-19-series-poly-fit-w2",
      "votes": 0
    },
    {
      "ref": "anshuls235/covid19-eda-predictions",
      "votes": 29
    },
    {
      "ref": "gauravr31/kernel650dbe5075",
      "votes": 0
    },
    {
      "ref": "nonserial/covid19-week2-worldbank-api",
      "votes": 1
    },
    {
      "ref": "vatsalparmar/analysis-week2",
      "votes": 0
    },
    {
      "ref": "razasaleemi/covid19-global-forecasting-week2-v3",
      "votes": 0
    },
    {
      "ref": "skorsun/sars-cov-2-exponential-model-week-2",
      "votes": 0
    },
    {
      "ref": "begehr/scaling-and-translating-hubei-s-curve",
      "votes": 4
    },
    {
      "ref": "rank23/kalman-filter-covid-19",
      "votes": 2
    },
    {
      "ref": "fmobrj1975/first-experiments",
      "votes": 1
    },
    {
      "ref": "yustasalex/covid19-gf-week2",
      "votes": 2
    },
    {
      "ref": "ravishankariyer/covid-19-prediction-using-random-forest-beginner",
      "votes": 2
    },
    {
      "ref": "raffdoc/covid-global-forecast-sir-model-ml-regressions",
      "votes": 0
    },
    {
      "ref": "mehek1/covid-19-forecasting-with-lstms",
      "votes": 7
    },
    {
      "ref": "corochann/covid-19-spread-situation-by-prefecture-in-japan",
      "votes": 28
    },
    {
      "ref": "udendran/kernel24087a3c97",
      "votes": 1
    },
    {
      "ref": "rayhuang/covid-19-global-forecast-randomforest",
      "votes": 14
    },
    {
      "ref": "hendrip8/arima-method",
      "votes": 0
    },
    {
      "ref": "vaibhavsxn/covid-global-forecast-sir-model-ml-regressions",
      "votes": 5
    },
    {
      "ref": "pstarszyk/seir-model-with-extensions",
      "votes": 8
    },
    {
      "ref": "liuzhangzhen/arima-influenza-baselines",
      "votes": 1
    },
    {
      "ref": "shakewingo/covid-19-eda-lstm",
      "votes": 48
    },
    {
      "ref": "khotijahs1/covid19-forecasting-randomforest",
      "votes": 41
    },
    {
      "ref": "patricolee/covid19-global-week-2",
      "votes": 0
    },
    {
      "ref": "lomen0857/covid19-fatalities",
      "votes": 1
    },
    {
      "ref": "sulianova/times-series-double-exponential-smoothing",
      "votes": 1
    },
    {
      "ref": "akatarou/kernel6e8262d51f",
      "votes": 0
    },
    {
      "ref": "amitgairola/kernel216638044e",
      "votes": 0
    },
    {
      "ref": "andreiamateus/covid19-global-data-visualization-week-2",
      "votes": 1
    },
    {
      "ref": "johndoeoeod/covid-19-lstm-xgbr-svr",
      "votes": 1
    },
    {
      "ref": "jorgechiles/cnn-kfold-recv1-2",
      "votes": 0
    },
    {
      "ref": "rajaash/coronavirus-covid-19-forecasting-ongoing",
      "votes": 6
    },
    {
      "ref": "jlgleason/covid19-global-forecasts-using-probabilistic-rnns",
      "votes": 6
    },
    {
      "ref": "aarthikannan/eda-of-covid-19",
      "votes": 3
    },
    {
      "ref": "arnadu/simple-fit",
      "votes": 3
    },
    {
      "ref": "casras/covid19-week2-data-consistency-check",
      "votes": 4
    },
    {
      "ref": "jyeti10/covid-19-regional-outlook",
      "votes": 7
    },
    {
      "ref": "mariikoma/kernel33c2db1f7c",
      "votes": 0
    },
    {
      "ref": "loleiying/covid19",
      "votes": 0
    },
    {
      "ref": "zhiyaoliang/2th-week-prediction",
      "votes": 23
    },
    {
      "ref": "amarmind/covid-19-basic-eda",
      "votes": 4
    },
    {
      "ref": "eugenedobrovolskyi/evgdobr-covid19-w2-expregr",
      "votes": 0
    },
    {
      "ref": "eugenedobrovolskyi/evgdobr-covid19-w2-xgboost",
      "votes": 0
    },
    {
      "ref": "ilu000/arima-influenza-baselines",
      "votes": 1
    },
    {
      "ref": "rashaddism/effect-of-temperature-humidity",
      "votes": 5
    },
    {
      "ref": "anbu3003/covid-week-2-forecast",
      "votes": 11
    },
    {
      "ref": "dferhadi/covid19-population-feature-engineering",
      "votes": 10
    },
    {
      "ref": "hendrip8/holt-winter-s-method",
      "votes": 0
    },
    {
      "ref": "deeshantk/kernel2036adfb74",
      "votes": 0
    },
    {
      "ref": "ha123321ha/rnn-model",
      "votes": 3
    },
    {
      "ref": "ashora/4ver-arima-2ver-xgboost-newbie",
      "votes": 74
    },
    {
      "ref": "antonzheronkin/covid-19-russia-forecast",
      "votes": 0
    },
    {
      "ref": "sambitmukherjee/covid-19-data-adding-world-development-indicators",
      "votes": 40
    },
    {
      "ref": "manasgargv6/kernel3fe8c58d93",
      "votes": 1
    },
    {
      "ref": "rohitmidha23/covid2-starter",
      "votes": 2
    },
    {
      "ref": "rohanrao/covid-19-w2-lgb-mad",
      "votes": 40
    },
    {
      "ref": "auenwald/covid19-forcast-w2-fitting-a-logistic-curve",
      "votes": 5
    },
    {
      "ref": "elente/covid-19-daily-growth-rate",
      "votes": 1
    },
    {
      "ref": "marsel171/covid-19-week2",
      "votes": 0
    },
    {
      "ref": "esotericazzo/covid-19-global-forecasting-model-hyperparameter",
      "votes": 6
    },
    {
      "ref": "gaurav146/covid-19-dv",
      "votes": 0
    },
    {
      "ref": "binhlc/sars-cov-2-exponential-model-week-2",
      "votes": 133
    },
    {
      "ref": "ranjithks/few-lines-of-code-without-data-leak",
      "votes": 68
    },
    {
      "ref": "deshmane/kernel1220a6465e",
      "votes": 1
    },
    {
      "ref": "jonaswm/covid-ag",
      "votes": 6
    },
    {
      "ref": "nikhilmallela/corona19-multivariate-multi-step-stacked-lstm-test",
      "votes": 1
    },
    {
      "ref": "paralleltree/covid19-simple-country-visualization",
      "votes": 2
    },
    {
      "ref": "shajin/covid-19",
      "votes": 4
    },
    {
      "ref": "bachrr/covid-19-epidemiological-data-analysis",
      "votes": 1
    },
    {
      "ref": "js942106361/covid-19-world-week2-modified-sir",
      "votes": 1
    },
    {
      "ref": "danevans/covid-19-week-2-global",
      "votes": 5
    },
    {
      "ref": "sulianova/covid-19-forecasting-with-random-forest",
      "votes": 27
    },
    {
      "ref": "girish01/covid-19-eda-and-deep-analysis-using-visualization",
      "votes": 8
    },
    {
      "ref": "corochann/covid-19-effect-of-temperature-humidity",
      "votes": 119
    },
    {
      "ref": "bernhardklinger/kernel20c01d5e21",
      "votes": 0
    },
    {
      "ref": "skeller/sprawling-cov-fastai",
      "votes": 8
    },
    {
      "ref": "cuberti/covid-19-python-eda",
      "votes": 4
    },
    {
      "ref": "skeller/arima-influenza-baselines",
      "votes": 51
    },
    {
      "ref": "asimjalis/covid19-global-forecasting-week-2",
      "votes": 0
    },
    {
      "ref": "dimaquick/kernel303a0b031a",
      "votes": 1
    },
    {
      "ref": "ivince20x4/covid19-week2-prediction",
      "votes": 0
    },
    {
      "ref": "jinsillee/covid-global-forecast-sir-model-arma-model",
      "votes": 0
    },
    {
      "ref": "zhengli0817/lroger-covid19-global-forecasting-week-2-lgbm",
      "votes": 2
    },
    {
      "ref": "mohitesh07/kernel402aed056d",
      "votes": 1
    },
    {
      "ref": "autokad/wg-feature",
      "votes": 0
    },
    {
      "ref": "hockmood/covid19-april-2020-forecast-basic-lstm-network",
      "votes": 1
    },
    {
      "ref": "iamhungundji/arima-model",
      "votes": 1
    },
    {
      "ref": "gopiyedla/covid-will-be-defeated",
      "votes": 0
    },
    {
      "ref": "twhelan/code-to-create-an-enriched-dataset",
      "votes": 14
    },
    {
      "ref": "andynath/covid19-simple-country-wise-and-worldwide-eda",
      "votes": 2
    },
    {
      "ref": "sharansmenon/covid-19-simple-forecasting",
      "votes": 3
    },
    {
      "ref": "henrifroese/analysis-and-modelling-sir-seir-extensions",
      "votes": 9
    },
    {
      "ref": "osciiart/covid-19-lightgbm-no-leak",
      "votes": 26
    },
    {
      "ref": "ajayrajure/approximation-baseline",
      "votes": 0
    },
    {
      "ref": "ashishdutt/covid19-starter-week2",
      "votes": 8
    },
    {
      "ref": "ayushijain29/covid19-dataset",
      "votes": 1
    },
    {
      "ref": "yatinece/exp-new-week",
      "votes": 19
    },
    {
      "ref": "nickteim/covid19-model-2",
      "votes": 21
    },
    {
      "ref": "ekzemplaro/approximation-baseline",
      "votes": 3
    },
    {
      "ref": "optimo/covid19-enriched-dataset-week-2",
      "votes": 77
    },
    {
      "ref": "sarthakpawar/arima-for-forecasting",
      "votes": 23
    },
    {
      "ref": "deepakks1995/kernel503d33eb18",
      "votes": 0
    },
    {
      "ref": "mehdi16/covid-19-week-2",
      "votes": 2
    },
    {
      "ref": "rhtsingh/the-novel-covid-19-digging-a-bit-deeper",
      "votes": 16
    },
    {
      "ref": "sergeyverbitskiy/approximation-baseline",
      "votes": 27
    },
    {
      "ref": "kinkpunk/my-forecasting-covid19-week-2",
      "votes": 1
    },
    {
      "ref": "benhamner/no-new-cases-baseline-covid-19-week-2-global",
      "votes": 1
    },
    {
      "ref": "tylerpike/covid-19-forecasting-fforma",
      "votes": 4
    },
    {
      "ref": "davidbnn92/using-weather-data-to-predict-spread-of-covid-19",
      "votes": 16
    },
    {
      "ref": "dferhadi/logistic-curve-fitting-global-covid-19-confirmed",
      "votes": 89
    },
    {
      "ref": "dferhadi/global-forecasting-covid-19-random-forest",
      "votes": 54
    },
    {
      "ref": "twopebbles/ca-covid19-trends",
      "votes": 0
    },
    {
      "ref": "silentviper/covid-19-novel-corona-virus-daily-infection-rate",
      "votes": 1
    },
    {
      "ref": "andrewcharles/prediction-challenge-sir-country",
      "votes": 1
    },
    {
      "ref": "vtaquet/covid-19-eda-and-auto-regressive-linear-model",
      "votes": 25
    },
    {
      "ref": "davidbnn92/weather-data",
      "votes": 440
    }
  ]
}