/Bike_rental_LinReg_Lasso

Using Multiple Linear Regression and Lasso Regression (Linear Regression with L1 norm) to predict bike rentals by registered users based on weather and time criteria.

Primary LanguageJupyter Notebook

Bicycle Project

Which weather conditions and time criteria impact registered users to use bike sharing company's rental bicycles as registered users?

Models used:

  • Multiple Linear Regression
  • Regularized Linear Regression (Lasso)

Data source: https://www.kaggle.com/lakshmi25npathi/bike-sharing-dataset

Important coefficients summarized:  

 

Summary of the Lasso Regression results: