Predicting the Bike Demand using Multiple Linear Regression and Python.

In this video, we have covered a business problem by loading the dataset, understanding using EDA, split the data into train and test, selecting the required features for the model and fine tuning the hyperparameters to arrive at a good fit model. The Bike Sharing company wants to find: a) how exactly the demands vary with different features b) understand the demand dynamics of a new market. Code is available at the following path: https://github.com/ProjectAIML/BikeSharingDemand.git