Machine Learning with Ridge and Lasso Regression

with Ivan Manov

4.9/5
(144)

Demonstrating how you can use ridge and lasso regression to apply regularization in machine learning. This course will improve your understanding of regression analysis so you can take your data scientist abilities to the next level.

19 lessons 1h
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Course Overview

Ridge and lasso regressions are machine learning algorithms with an integrated regularization functionality. Built upon the essentials of linear regression with an additional penalty term, they serve as a calibrating tool for preventing overfitting. In this hands-on course, you will learn how to apply ridge and lasso regression in Python and determine which of the two is the best choice for your particular dataset.

19 High Quality Lessons
4 Practical Tasks
1 Hour of Video
Certificate of Achievement

Skills you will gain

machine learningPythonTheory

What You'll Learn

This course gives you an insight into the machine learning regularization procedures and explains how these can be applied in Python.

Understand the principle of regularization
Learn about the differences between ridge and lasso regressions
Tune regression analysis algorithms to improve their performance
Handle overfitting and multicollinearity issues
Choose the proper tuning parameters with cross-validation

Curriculum

Student feedback

4.9/5

144 ratings
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16.11.2022
I highly recommend this course to my friends . Its very comprensive and easy . thank you so much
02.11.2022
Would have liked to explore more the interpretation of coefficients and other statistics
13.11.2022
Excellent course and found interesting
11.11.2022
This is one of the best
19.11.2022
another great course
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“Regularization is a necessity when dealing with issues such as overfitting and multicollinearity. In this course, I will show you how to apply this technique with the help of two machine learning algorithms that are essential for your data science journey – ridge and lasso regression.”

Machine Learning with Ridge and Lasso Regression

with Ivan Manov

Start Course