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

Last synced: 8 months ago
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Implementation of various data science techniques and research papers

• Host: GitHub
• URL: https://github.com/Ritvik19/Data-Science-From-Scratch
• Owner: Ritvik19
• License: mit
• Created: 2021-12-17T13:40:28.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-12-15T04:46:46.000Z (over 1 year ago)
• Last Synced: 2025-02-03T08:26:17.869Z (over 1 year ago)
• Topics: 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
• Language: Jupyter Notebook
• Homepage: https://ritvik19.github.io/data-science-from-scratch/
• Size: 148 MB
• Stars: 23
• Watchers: 4
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Implemented-Data-Science

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/implemented-data-science/)