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Implementation of classical machine learning techiques and their testing on publicly available datasets. Step-by-step in-depth explanations of solutions from the mathematical perspective and application suggestions
Implementation of classical supervised and unsupervised machine learning algorithms and their testing on publicly available datasets. Step-by-step explanations and suggestions are included.
Planned works:
Naive Bayes Classifier
Decision Trees;
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Implementation of classical machine learning techiques and their testing on publicly available datasets. Step-by-step in-depth explanations of solutions from the mathematical perspective and application suggestions