# Introduction
This project contains material to the university introduction course "Machine Learning for Economics and Finance".

**Git clone**:<br>
`git clone https://gitea.weseng.de/mwio/econometrics-and-machine-learning.git`

# Course content outline
![File content](ml_courseplan_python_2024.svg)

# Section outline
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- Supervised Learning: Regressions
  - Linear Regression
  - Multilinear Regression
- Supervised Learning: Classification
  - Logistic Regression
- Cross Validation
  - K-fold Cross-validation
- Subset Selection & Shrinkage
  - Lasso Regression, Ridge Regression
- Tree-Based Methods
  - Classification Trees
  - Bagging, Boosting
  - Random Forest
- Deep Learnin
  - Neural Networks

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