Logistic Regression Case Study in Python

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Logistic Regression is one of the most common and accessible Statistics / Machine Learning techniques. Furthermore, it is also quite easy to implement. In this hands-on tutorial, I guide you through the implementation of Logistic Regression in Python.

In the video, I solve the "Sommelier" case study. The main goal is to find the key characteristics that make good quality wine. Hence, we prepare the dataset to run a Logistic Regression. Then, looking at the statistical significance level and as well the direction of the coefficients, we interpret what we should look at to get the best wine.

[anudeepkatta]

Thanks Diogo for amazing content!
If you can make videos all basic ML models it will be helpful for beginners.