jmgraham30 / ds_362_site

Course Materials for DS 362 Introduction to Machine Learning

Links

Here are the links to the rendered versions of the course materials:

• Course Webpage

• Course Syllabus

• Lesson 1 - Overview of Data Mining and Machine Learning

• Lesson 2 - Fundamental Machine Learning Concepts

• Lesson 3 - Linear Regression

• Lesson 4 - Introduction to Classification

• Lesson 5 - Resampling

• Lesson 6 - Tree-based Models

• Lesson 7 - Neural Networks and Deep Learning

• Lesson 8 - Support Vector Machines

• Lesson 9 - Unsupervised Learning

• Lesson 10 - Reinforcement Learning

• Lesson 11 - Ethical Considerations in Machine Learning

Assignments for the course are available at this repository.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.