344896fe09147d8a0e6b21a59426e35f8522639c
Introduction
This project contains "Machine Learning for Economics and Finance" related material.
Git clone:
git clone https://gitea.weseng.de/mwio/econometrics-and-machine-learning.git
Section outline
- 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
Description
This repository contains Python, R and STATA code in regard to solve some typical econometrics and machine learning tasks.
Languages
Jupyter Notebook
97.6%
Stata
2%
Python
0.4%