Session 1: Getting started with python programming Installing Anaconda Python variables, lists, tuples and dictionaries Control Structure in Python Defining Functions in Python
Session 2: Using modules and packages Numpy for Data computation Matlplotlib for Data Visualization Pandas for data exploration Using scikit-learn
Session 3: Creating linear regression models using scikit-learn Introduction to Artificial Intelligence Applications of AI & Current trends Emotional Intelligence with machine Learning Introduction and Applications of Machine Learning
Session 4: Supervised and Unsupervised Learning Classification & Regression Problem Clustering, Anomaly Detection Getting started with Linear Regression Mathematics behind Linear Regression
Session 5: Building Linear Model Python Simple and Multiple linear Regression Decision Tree Random Forest Natural Language Processing