Data_science_Machine_learning_course

This repository contains the files I worked on during the course Data Science and Machine Learning

Assignment 1 covers:

• Regressions (linear, multivariate, polynomial features, logistic)

• Ridge and cross-validation

• Encoding (one-hot, label)

• Classification (KNN-classifier, decision trees)

Assignment 2 covers:

• Clustering

• Association Rules

• Recommender Systems