Introduction to Machine Learning

Training and Testing

Evaluation

Classification Model Performance

Validation Examples

Classification versus Regression

Teachable Machine

The Idea Behind Nearest Neighbors Selection

Designing a NN Algorithm

Designing a k-NN Algorithm

Data Standardization

k-NN Notebook (Optional)

k-NN Quiz

Last Notes on k-NN (Optional)

Understanding Linear Regression

How Does Linear Regression Work?

The Least Squares Method

Gradient Descent for Linear Regression (Optional)

Numerical Example

Extension to Multiple Features (Optional)

Linear Regression Notebook (Optional)

Linear Regression Quiz

Decision Trees

Decision Trees Notebook (Part 1) (Optional)

Decision Trees Notebook (Part 2) (Optional)

Decision Trees Quiz

What is a Naive Bayes Classifier?

Predicting Movie Plans Example

Naive Bayes Basics Quiz

Handling New Situations

Naive Bayes Advanced Quiz

Naive Bayes Notebook (Optional)

K-Means Introduction

Song Clustering

K-Means Notebook (Optional)

K-Means Quiz

Additional Resources (Optional)