Implementing Regularized Linear Regression with sklearn

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Implementing Regularized Linear Regression with sklearn

May 5, 2019| Daniele Rosa

Daniele is an experienced data scientist and tech craftsman with fearless flexibility. He is a lead problem-solver in the financial services industry and also in scientific research. Daniele doesn’t consider himself a perfectionist, but rather believes that domain knowledge, and trial-and-error is the recipe for success.

 

Key takeaways for you

  • Learn the intutition behind Linear Regression
  • Learn how to implement Linear Regression using sklearn
  • What is the intuition behind Regularization and its implementation

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