Description

• Linear Classifiers and Logistic Regression
• Support Vector Machines
• SVM Variants and Python Tools
• Bayesian Classification + Tools
• Decision Trees + Tools
• Random Forest Algorithms + Tools
• (All parts will cover practical applications)