5. ANOVA Clearly Explained | Feature Selection using ANOVA | ANOVA by hand |

Welcome to our video on ANOVA (Analysis of Variance)! In this tutorial, we'll be providing a clear and concise explanation of this statistical technique, including its purpose, assumptions, and applications.

We'll start by defining ANOVA and explaining its role in hypothesis testing. Next, we'll cover the assumptions of ANOVA and how to test for their validity. We'll then demonstrate how to perform an ANOVA test in Python using scipy, including how to interpret the results and calculate the F-statistic and p-value.

Finally, we'll discuss some common applications of ANOVA, including comparing the means of multiple groups and testing for differences in variance. By the end of this video, you'll have a solid understanding of ANOVA and be able to confidently apply it in your own data analysis projects.

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