
Introduction
- Introduction to Machine Learning
- Python for Machine Learning
- Supervised vs Unsupervised
Regression
- Introduction to Regression
- Simple Linear Regression
- Model Evaluation in Regression Models
- Evaluation Metrics in Regression Models
- Multiple Linear Regression
- Non-Linear Regression
Classification
- Introduction to Classification
- K-Nearest Neighbours
- Evaluation Metrics in Classification
- Introduction to Decision Trees
- Building Decision Trees
- Intro to Logistic Regression
- Logistic regression vs Linear regression
- Logistic Regression Training
- Support Vector Machine
Clustering
- Intro to Clustering
- Intro to k-Means
- More on k-Means
- Intro to Hierarchical Clustering
- More on Hierarchical Clustering
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