Open Dataset
Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
このプロジェクトは世界最大のタクシー会社であるUber inc.に関するものです。このプロジェクトでは、彼らの将来の取引事例の運賃を予測したいと考えています。Uberは毎日何千もの顧客にサービスを提供しています。現在、彼らのデータを適切に管理し、新しいビジネスアイデアを提案して最適な結果を得ることが非常に重要になっています。最終的に、運賃を正確に見積もることが非常に重要になります。
Uberは毎日多数の顧客にサービスを提供しており、彼らのデータに基づいて予測結果を得ることが非常に重要になっています。
このデータセットには20万件のUberの行程に関する価格、経度と緯度の情報が含まれており、回帰アルゴリズムを使用して取引価格を予測することができます。
データ説明
key - 各旅行の一意の識別子
fare_amount - 各旅行の費用(ドル)
pickup_datetime - メーターを使用した日付と時間
passenger_count - 車両内の乗客数(運転手が入力した値)
pickup_longitude - メーターを使用した場所の経度
pickup_latitude - メーターを使用した場所の緯度
dropoff_longitude - メーターを外した場所の経度
dropoff_latitude - メーターを外した場所の緯度
問題の説明
・ 回帰モデルを構築してUberの運賃を予測する。
・ モデルを評価し、R2、RMSEなどのそれぞれのスコアを比較する。
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.