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Machine Learning

Current Year (2023) Slides

• An Introduction to Statistical Learning

Current Year (2023) Slides

• Introduction to ML
• Regression
• Linear Regression with Linear Algebra
• Regression Equation Analysis
• Gradient Descent
• Logistic Regression
• OSL GD MLE
• Clustering Partioning Approach
• Clustering Hierarchical and Density Based Approach
• Decision Tree
• KNN
• SVM
• LR Variable Transformations
• Deep Learning and Neural Networks
• Backpropagation
• CNN
• RNN
• Machine Learning Metrics

Previous Year Slides

• Linear Regression 1
• Linear Regression 2
• Linear Regression Assumptions
• Machine Learning Metrics
• P Value
• Z-Statistic-and-T-Statistic