shreyansbardia557 / boombike-sales-prediction

Using Linear Regression we will predict the sales of BoomBikes using it last 2 years of data

BoomBikes Sales Prediction

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.

Table of Contents

• General Info
• Technologies Used
• Conclusions

General Information

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.

Conclusions

-A coefficient value of 0.478564 indicated that a temperature has significant impact on bike rentals -A coefficient value of -0.291333 indicated that the light snow and rain deters people from renting out bikes -A coefficient value of 0.233911 indicated that a year wise the rental numbers are increasing -It is recommended to give utmost importance to these three variables while planning to achieve maximum bike rental booking. -As high temperature and good weather positively impacts bike rentals, it is recommended that bike availability and promotions to be increased during summer months to further increase bike rentals

Technologies Used

• Python.
• Jupyter Notebook