About this document
Bike Rental Demand Prediction Analysis by Shubham Raj is a document available to read on EtoBox.
The document summarizes a case study to predict daily bike rental counts in India based on environmental and seasonal factors. Regression models are proposed to solve the prediction problem using a dataset containing hourly rental data over two years, including variables like temperature, humidity, weather conditions, and more. Feature engineering techniques are discussed to create new variables that could help improve the accuracy of the predictive model.
- Author
- Shubham Raj
- Language
- EN