Homework for Machine Learning Methods class of Charles University.

Exercises from coding-bat website and simple class and methods implementation.

Preparation of data for sentiment analysis task (preprocessing, bag of words, feature engineering). Twitter data (eng).

Implementation of Perceptron, Naive Bayes and KNN algorithms.

Implementation of Simple Linear Regression and Linear Regression with Gradient Descent.

Application of scikit-learn implementation for Linear Regression, Decision Tree Regressor, Support Vector Regressor, Ridge Regression, Bayesian Ridge Regression and KNN Regressor.

Application of scikit-learn implementation for SVM, Grid Search, Cross Validation.

Implementation of K-Means algorithm.

Application of scikit-learn implementation for SVM, Decision Tree, KNN and Naive Bayes.