@tejaswi0910 and @Nitya-Pasrija
Please reach out to the maintainers if you get stuck or wish to report someone.
Machine learning is a field of inquiry devoted to understanding and building methods that 'learn', that is methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence.
Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. The concept of deep learning is not new. It has been around for a couple of years now. It’s on hype nowadays because earlier we did not have that much processing power and a lot of data. As in the last 20 years, the processing power has increased exponentially, deep learning and machine learning have come into the picture.
This repository consists of various machine learning projects, and all of the projects must follow a certain template. I hope the contributors will take care of this while contributing in this repository.
Dataset - This folder stores the dataset used in this project. If the Dataset is not able to upload in this folder due to the large size, then put a README.md file inside the Dataset folder and put the link of the collected dataset in it. That'll work!
Images - This folder is used to store the images generated during the data analysis, data visualization, and data segmentation of the project.
Model - This folder would have your project file (that is .ipynb file) be it analysis or prediction.
https://youtube.com/playlist?list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi&utm_source=EKLEiJECCKjOmKnC5IiRIQ https://youtube.com/playlist?list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe&utm_source=EKLEiJECCKjOmKnC5IiRIQ
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Fork the repository
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Clone your forked repository using terminal or gitbash.
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Make changes to the cloned repository
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Add, Commit and Push
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Then in Github, in your cloned repository find the option to make a pull request
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Take a look at the Existing Issues of your project and find one that interests you or create your own Issues!
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Tag the repository maintainers or issue creators to assign that issue to you.
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Wait for the Issue to be assigned to you after which you can start working on it.
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Fork the Repo and create a Branch for any Issue you are working on.
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Create a Pull Request which will be promptly reviewed and suggestions will be added to improve it.
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Once your PR is approved, your changes will be merged into the project.
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Add Screenshots to help us know what this Script is all about.
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Repository-specific contribution information is in the respective READMEs of each repo.
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Do not abuse and/or use bad language. Ensure you don't insult anyone. Be respectful and inclusive.
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Please mention your full name on your GitHub handle to be eligible for prizes.
You can take up any of the existing issues or create a new one to contribute!
Contribution period ends: 28 January 2024
You can refer to the following resources on Git and Github to get started and contact our Project Mentors via Discord if you have any doubts.
- Go through this repository to how to contribute learn step-by-step
- Watch this video to get started
- Forking a Repo
- Cloning a Repo
- How to create a Pull Request
- Getting started with Git and GitHub
🎉 🎊 😃 Happy Contributing 😃 🎊 🎉