(Python) Bike sharing; Use different models that effectively predict the number of ride-sharing bikes.

Study the problem from https://www.capitalbikeshare.com/system-data. Propose a solution and submit a report which should contain the following:a. Problem statement.
b. EDA: supported by various graphs, charts, statistical methods etc. Write description about each measure (in few lines).
c. Solution that you propose
i. ML models that you used.
ii. Accuracy of each model and best model proposed (mention reasons).
iii. Model improvement (methods that you adopted to improve results).
iv. Comparison between models.
v. Conclusion (highlight the solution and scope for further improvement).

Code – bike_sharing_eda.ipynb remove .txt extension and upload it on google collab to see results using hour.csv

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