Linear-Regression-

This assignment is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes.

Problem Statement-

You are required to model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a good way for management to understand the demand dynamics of a new market. Shared Bikes Demand Prediction - Assignment Solution Problem Statement: A US bike-sharing provider BoomBikes has a daily dataset on the rental bikes based on various environmental and seasonal settings. It wishes to use this data to understand the factors affecting the demand for these shared bikes in the American market and come up with a mindful business plan to be able to accelerate its revenue as soon as the ongoing lockdown due to corona pandemic comes to an end.

Essentially, the company wants to know —

• Which variables are significant in predicting the demand for shared bikes.
• How well those variables describe the bike demands.

The solution is divided into the following sections:

• Data understanding and exploration
• Data Visualisation
• Data preparation
• Model building and evaluation.

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