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README.md

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-# econometrics-and-machine-learning
+# Introduction
+This project contains "Machine Learning for Economics and Finance" related material.
+
+**Git clone**:<br>
+`git clone https://gitea.weseng.de/mwio/econometrics-and-machine-learning.git`
+
+
+# Section outline
+<!--**...**:<br> -->
+- 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
+
+<!-- ![preview:](ARES_Hum-Temp.png?raw=true "placements")! -->
+<!-- … -->
+
+<!-- <a href="https://www.raspberrypi.org/documentation/installation/installing-images/README.md" target="_blank">Introduction: Installing operating system images on the Raspberry Pi</a> -->
+
 
-This repository contains Python, R and STATA code in regard to solving econometrical and machine learning tasks.