Colab(一二。二):Kaggle - Bike Sharing
2021/03/25
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https://pixabay.com/zh/photos/person-bench-lake-bank-mountains-6076771/
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說明:
在鐵達尼號倖存者很快跑完兩個實作後,決定共享單車就是看看就好。統計學的知識是基本的。資料科學,資料前處理的知識,也是必備的。
然後是選模型,設超參數,跑結果。
所以打算接下來找一個以深度學習的比賽,已結束的,正式練功。
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References
Bike Sharing Demand | Kaggle
https://www.kaggle.com/c/bike-sharing-demand
End to end Case Study: Bike-sharing demand prediction | by Pawan Reddy Ulindala | Towards Data Science
https://towardsdatascience.com/end-to-end-case-study-bike-sharing-demand-dataset-53201926c8db
Kaggle - Predicting Bike Sharing Demand — Anindya's Blog
How to finish in the top 10 percentile in Bike Sharing Demand Competition In Kaggle? (part -1) | by Vivekanandan Srinivasan | Analytics Vidhya | Medium
[資料分析&機器學習] 第4.2講 : Kaggle競賽-共享單車需求預測 (前17%排名) | by Yeh James | JamesLearningNote | Medium
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