Bike Sharing Demand Prediction

[ritikkumar55]

Bike Sharing Demand Prediction

[ashishsahu1]

Kindly read #42 , Its already mentioned to give a brief description about your idea

[ritikkumar55]

Kindly read #42 , Its already mentioned to give a brief description about your idea

Bike Sharing Demand Prediction is an regression Problem.
Objective of this task is to predict the total count of bikes rented during each hour covered by the test set, using
only information available prior to the rental period.

Dataset Url : https://www.kaggle.com/c/bike-sharing-demand/data

@ashishsahu1 Can we use Streamlit for this task or to go with Flask.

[ashishsahu1]

We surely can use streamlit, Flask is not a compulsion, are you going to do both model training and backend that is streamlit in this case?

[ritikkumar55]

We surely can use streamlit, Flask is not a compulsion, are you going to do both model training and backend that is streamlit in this case?

Yes , as a beginner I have only worked on model training on simple ml algorithm But I think this is the best time to make myself uncomfortable and push myself in backend development also.

[ashishsahu1]

@ritikkumar55 off course Open source is all about learning and implementing

[ritikkumar55]

Thank you so much @ashishsahu1