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From Scratch, implementing ML algorithms without libraries

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From Scratch

Implementing ML algorithms without libaries, in order to illustrate understanding of the mathematical foundation of these algorithms

Algorithms:

GMM

Gaussain Mixture Models, a unsupervised learning clustering technique. Data - S&P 500 Exchange traded Fund Prices Objective: Finding the distribution of the returns of S&P 500.

Naive Bayes

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From Scratch, implementing ML algorithms without libraries

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