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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.

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helenaEH/Bike_rental_LinReg_Lasso

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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:  

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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.

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