- • Introduction to Data Science with Python

- • Python Basics: Basic Syntax, Data Structures

- • NumPy Package

- • Pandas Package

- • Machine learning model overview

- • Machine learning algorithms

- • Data Preparation

- • Metrics for classification

- • Linear Regression

- • Error in Linear Regression

- • Linear Regression Case Study

- • Polynomial Regression

- • Logistic Regression

- • Naive Bayes

- • Support Vector

- • Decision Tree

- • Random Forest

- • K-nearest neighbour (KNN)

- • K means Clustering

- • DBSCAN – Density based clustering

- • Fuzzy Clustering

- • Hierarchical clustering