Lectures

Lecture 1

Introduction to Machine Learning

Basic Concepts

Learning Paradigms

Lecture 2

Basic Concepts

Naive Bayes

Performance Metrics

Lecture 3

Nearest Neighbors

Local Learning

Curse of Dimensionality

Lecture 4

Decision Trees

Random Forests

Lecture 5

Kernel Methods

Ridge Regression

Lecture 6

Support Vector Machines

Logistic Regression

Labs

Installing Anaconda - Windows

Installing Anaconda - Linux

Lab 1

Introduction to Python

Introduction to Numpy

Introduction to Matplotlib

Solution

Lab 2

K-Nearest Neighbors

Naive Bayes

Solution

Lab 3

Kernel Ridge Regression

Support Vector Machines