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1. ML-HW-on-Clustering-and-Dimensionality-Reduction ML-HW-on-Clustering-and-Dimensionality-Reduction Public

   Machine Learning Homework of principal component analysis, linear discriminant analysis for dimensionality reduction and k-means, expectation maximization algorithm for clustering

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2. ML-HW-on-Nonparametric-Methods ML-HW-on-Nonparametric-Methods Public

   Jupyter Notebook

3. ML-HW-on-Bayes-Classifier ML-HW-on-Bayes-Classifier Public

   Machine Learning homework about bayes classifier

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4. ML-HW-on-Gradient-Descent ML-HW-on-Gradient-Descent Public

   Machine Learning Homework About Gradient Descent and Linear Regression

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5. ML-HW-On-SVM-Dimensionality-Reduction ML-HW-On-SVM-Dimensionality-Reduction Public

   Machine learning homework of support vector machines, feature selection and principal component analysis

   Jupyter Notebook