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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

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