Lectures in Machine Learning

• Decision Tree and Random Forest

• Hyperparameter Tuning

• Linear Models

• Bayes Classification

• Optimization - part 1

• Optimization - part 2

• Exploratory Data Analysis

• Data Processing

• Support Vector Machines

• Outliers

• Data Clustering (1)

• Data Clustering (2)

• Data Clustering (3)

• Multi-layer Neural Networks

• Loss Functions (1)

• Loss Functions (2)

• Likelihood

• Convolutional Neural Networks (CNNs)

• Explainable AI (XAI)