s-razmi / hands-on

Hands-on Instructions on Different courses

Hands-On Instructions for Machine Learning and Statistical Inference Courses

This repository contains hands-on instructions for the courses Machine Learning and Statistical Inference, in which I was a teaching assistant during the fall of 2023.

Machine Learning Hands-On

In the Machine Learning hands-on, we discuss different ensemble learning algorithms such as bagging, boosting, and stacking. We also get familiar with popular models in each class and learn their API in Scikit-learn. Finally, we evaluate their performance.

Statistical Learning Hands-On

In the Statistical Learning hands-on, we have three different sessions. The first one is about contingency tables and their use. The second one is about non-parametric tests, and the third one is about the Kolmogorov-Smirnov test. We get familiar with these concepts, their applications, and how to perform them using their API in Python.

How to Use

To use this repository, simply clone it to your local machine and navigate to the corresponding directory for each hands-on session.

License

This repository is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions or feedback, feel free to contact me at [email protected]. I'll be happy to hear from you!