Course Curriculum Module 1 Introduction of Course Preview Math for Machine Learning – Statistics Basics Assignment 1 Module 2 Math for Machine Learning – Analyzing Data using Statistics & Probabilistic Analysis Introduction to Python programming for Course Assignment 2 Module 3 Python for Data handling – numpy and Pandas Python for Data Handling – pandas Data Visualization with matplotlib and seaborn Assignment 3 Module 4 Linear Regression Logistic Regression Assignment 4 Module 5 KNN and Decision Tree Decision Tree and Random Forest Artificial Neural Networks Assignment 5 Module 6 Support Vector Machines Image Processing with Opencv Assignment 6 Module 7 Time Series Prediction Unsupervised Learning – Clustering Principal Component Analysis and Anomaly Detection Assignment 7 Module 8 Natural Language Processing Assignment 8 Project Works Artificial Intelligence Machine Learning – Instructor Led Course Back to Course Introduction of Course Artificial Intelligence and Machine Learning Next Math for Machine Learning – Statistics Basics
