Course Content Modules Status 1 Machine learning algorithms 2 Techniques of Machine Learning 3 Applications of Machine Learning 4 Review of linear algebra 5 Data Preprocessing 6 Supervised learning algorithms 7 Linear Regression with single Variable 8 Linear Regression with Multiple Variables 9 Logistic Regression & Random Forest 10 Decision Tree Regression 11 Classification using KNN 12 Classification using GINI 13 Classification using SVM(support vector machine) 14 Neural Networks: Representation 15 Neural Networks: Learning for regression and classification 16 Unsupervised learning – Clustering 17 Mining of data using LSI 18 Large Scale Machine Learning