Repository for machine learning courses owned and maintained by prof. Jahangiry
- The main branch contains some general contents including Python crash course, data, cheatsheets, Google Colab tutorials, PyCaret, and etc.
- You can find the latest lecture slides and Python notebooks in the New slides folder under Lectures.
Pedram Jahangiry, CFA, is a Professional Practice Assistant Professor of Data Analytics and Information Systems in the Huntsman School of Business at Utah State University. Prior to joining the Huntsman School in 2018, Pedram was a research associate within Financial Modeling Group at BlackRock NYC. His current research is involved in machine learning, deep learning and time series forecasting. Pedram is one of the project mentors at the Analytics Solutions Center where they provide significant experiential learning opportunities for students from across USU’s Logan and Statewide campuses by working with corporate partners on analytics projects.
| Machine Learning Topics |
|---|
| Module 1- Introduction to Deep Learning |
| Module 2- Setting up Machine Learning Environment |
| Module 3- Linear Regression (Econometrics approach) |
| Module 4- Machine Learning Fundamentals |
| Module 5- Linear Regression (Machine Learning approach) |
| Module 6- Penalized Regression (Ridge, LASSO, Elastic Net) |
| Module 7- Logistic Regression |
| Module 8- K-Nearest Neighbors (KNN) |
| Module 9- Classification and Regression Trees (CART) |
| Module 10- Bagging and Boosting |
| Module 11- Dimensionality Reduction (PCA) |
| Module 12- Clustering (KMeans – Hierarchical) |
