Curriculum
- 2 Sections
- 18 Lessons
- Lifetime
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- Understanding Problem Statement and Logistic Regression13
- 1.1Project Overview [Video]12 Minutes
- 1.2Learning Objectives10 Minutes
- 1.3Data: Features Explainer [Video]10 Minutes
- 1.4Step-by-Step Approach10 Minutes
- 1.5SMOTE, RFE, VIF, F1-Score Threshold Optimisation10 Minutes
- 1.6One-Hot-Encoding of Categorical Data10 Minutes
- 1.7Understanding Exploratory Data Analysis15 Minutes
- 1.8Understanding Data Scaling10 Minutes
- 1.9Logistic Regression Algorithm [Video]25 Minutes
- 1.10Understanding Classification Metrics [Video]
- 1.11Finding Optimum Threshold for LR Model10 Minutes
- 1.12Feature Elimination using VIF (Variance Inflation Factor)15 Minutes
- 1.13Recursive Feature Elimination20 Minutes
- Code Walkthrough5