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https://github.com/ritvik19/data-science-from-scratch

Implementation of various data science techniques and research papers
https://github.com/ritvik19/data-science-from-scratch

artificial-neural-networks classification computer-vision convolutional-neural-network data-science deep-learning generative-adversarial-network machine-learning natural-language-processing natural-language-understanding recurrent-neural-networks regression transfer-learning transformer

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Implementation of various data science techniques and research papers

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README

          

# Data-Science-From-Scratch

This repo is a collection of implementation of machine learning techniques and research papers in order to help understand and simplify complex ideas and concepts.

The motivation is to gain a deeper understanding of the underlying principles and mechanisms of the techniques and papers, and experiment with different approaches and ideas in a more focused and controlled environment.

The key idea was to make a useful learning tool for others who may be interested in the same topics, as it can provide a more accessible and intuitive introduction to the concepts involved

Read the documentation [here](https://ritvik19.github.io/data-science-from-scratch/)