GitHub - mikhail-kukuyev/ML-Course: Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms. · GitHub

Name		Name	Last commit message	Last commit date
hw1 (ERM, true risk)		hw1 (ERM, true risk)
hw2 (linear regression, feature-engineering)		hw2 (linear regression, feature-engineering)
hw3 (VCdim)		hw3 (VCdim)
hw4 (Viola-Jones, AdaBoost, Haar features)		hw4 (Viola-Jones, AdaBoost, Haar features)
hw5 (Validation, k-fold)		hw5 (Validation, k-fold)
hw7 (Gradient Descent implementations)		hw7 (Gradient Descent implementations)
hw8 (SVM)		hw8 (SVM)
hw9 (k-NN, t-SNE, PCA)		hw9 (k-NN, t-SNE, PCA)
lections		lections

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Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.

adaboost adaptive-algorithm face-recognition gradient-descent-implementation haar-features k-fold k-nn liblinear libsvm linear-regression machine-learning pca-implementation ridge-regression stochastic-gradient-descent svm viola-jones

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