Data Structure ?
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Data Structure ?
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README.md
ElectrolysiaのContextCompany社はこの都市に電力を供給しています。同社は、Electrovaniaの人々の過去の電力使用量に基づいて、電力生産を最適化したいと考えています。同社はあなたをデータサイエンティストとして雇い、過去の消費量と天気情報を調査し、できるだけ正確に傾向を捉えるモデルを提案するよう依頼しています。電力使用量に影響を与える要因はたくさんあり、すべての要因を測定することはできないことを覚えておかなければなりません。イレシア社はあなたに5年間の毎時データを提供しています。このコンペティションでは、訓練データセットには毎月の最初の23日が含まれ、テストデータセットは毎月の24日から月末までです。公開ランキングはテストの最初の2日間のデータに基づいて算出され、非公開ランキングはそれ以外の日を考慮します。あなたのタスクは毎時の電力使用量を予測することです。過去の消費量をモデル化するために将来の情報を使用することはできないことに注意してください。例えば、2017年2月のデータを使って2017年1月の最後の週の情報を予測することはできません。これは架空の期間を表しており、この期間では将来の電力消費量を予測することができます。このデータはAnalytics Vidyaのハッカソンから取得されたものです。ハッカソンは現在終了しています。
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