README.md

Introduction to Machine Learning

This repository contains some programming assignments and projects I've done during the Introduction to Machine Learning course.

Course structure:

1. Week1: Pandas review, DecisionTreeClassifier
2. Week2: Metrics review, KNeighbors, Perceptron model
3. Week3: LogisticRegression, SVM, Quality Metrics
4. Week4: LinearRegression, PrincipalComponentAnalysis
5. Week5: GradientBoostingClassifier, RandomForest
6. Week6: K-Means clustering
7. Week7: My final project

General information:

• Basic work stages
• Basic data pre processing ways