Machine Learning Basics

Code in this repository:

1. "uni_belege" contains the code for all tasks done during the course "Wissenrepräsenation" at the HTW Berlin

The course "Wissensrepräsentation" provides basic knowledge of machine learning*. In particular, the following contents were covered:

• Univariate Linear Regression
• Multivariate Linear Regression
• Logistic Regression with Regularization and Bias/Variance Analysis example
• Logistic Regression - Decision Trees

Programming language: Python

2. "ml-scikit-learn" contains code about different ML algorithms programmed along some courses online, e.g.:

• https://www.udemy.com/learning-python-for-data-analysis-and-visualization/