5.1 Introduction to Machine learning algorithms
5.2 Types of ML algorithms
5.3 K-Nearest Neighbors (KNN)
5.4 Naive Bayes
5.5 Logistic Regression
5.6 Support Vector Machine (SVM)
5.7 Decision Trees
5.8 Linear Regression
5.9 Optimization Techniques
5.0 Ensemble Models
5.11 Random Forest
5.12 GBDT and XGBoost