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https://github.com/ritvik19/implemented-data-science
Implementation of various data science techniques and research papers
https://github.com/ritvik19/implemented-data-science
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: 3 months ago
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Implementation of various data science techniques and research papers
- Host: GitHub
- URL: https://github.com/ritvik19/implemented-data-science
- Owner: Ritvik19
- License: mit
- Created: 2021-12-17T13:40:28.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-17T11:54:19.000Z (9 months ago)
- Last Synced: 2024-04-17T12:55:19.596Z (9 months 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/implemented-data-science/
- Size: 148 MB
- Stars: 18
- Watchers: 5
- Forks: 2
- Open Issues: 0
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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/)