Logistic Regression Explained - Data Pre-Processing, Feature Selection and Interpretation - Part 2

In this video, we will go over a Logistic Regression example in Python using Machine Learning and the SKLearn library. This tutorial is for absolute beginners. We will cover all the steps of the machine learning process. I also explain some of the theory to help you understand Machine Learning and Logistic Regression in general.
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Tutorial Overview
Video 1:
1. What is Machine Learning
2. Process of Machine Learning
3. Problem Formulation
4. Loading the Raw Data
5. Data Preprocessing
• EDA
Video 2:
5. Data Preprocessing
• Data Cleaning
• Feature Selection
6. Splitting the Raw Data
7. What is Logistic Regression Analysis
Video 3:
8. Running Logistic Regression
9. Evaluating the Model
10. Hyper Parameter Tuning
11. Final Model with Selected Parameters
12. How to use our L. Regression model
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