Bike Sharing Prediction

Business Problem Overview

A US bike-sharing provider BoomBikes has recently suffered considerable dips in their revenues due to the ongoing Corona pandemic. The company is finding it very difficult to sustain in the current market scenario. So, it has decided to come up with a mindful business plan to be able to accelerate its revenue as soon as the ongoing lockdown comes to an end, and the economy restores to a healthy state.

In such an attempt, BoomBikes aspires to understand the demand for shared bikes among the people after this ongoing quarantine situation ends across the nation due to Covid-19. They have planned this to prepare themselves to cater to the people's needs once the situation gets better all around and stand out from other service providers and make huge profits.

Business Goals

Build Predictive model that will be used 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.

Steps performed to buil the model.

1. Process data (convert columns to appropriate formats, handle missing values, etc.)

2. Conduct exploratory analysis to extract useful insights (whether directly useful for business or for eventual modelling/feature engineering).

3. Performed Scalling and RFE.

4. Build Regression Model.

5. Performed Residual analysis of train data.

6. Model Evaluation and Prediction.