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A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.

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DSC-JSS-NOIDA/ML-Hub

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ML-Hub 💻

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A collection of several Machine learning projects from beginner to intermediate level.


Steps for contribution ⚙️

1) Fork the repository


Fork


2)Clone your forked repository using terminal or gitbash.


clone

$ git clone https://github.com/<your-github-username>/ML-Hub.git
$ cd ML-Hub

3) Make changes to the cloned repository

Make changes to the project (by adding the assigned project).


make changes to project part 1


image


4) Add, Commit and Push


Stage your changes using:

$ git add .


Commit your changes using:

$ git commit -m "add any comment"


Push the changes to the forked repository using:

$ git push

5)From the cloned repository in your Github account, make a pull request


Resources 📖


How should the Project look like? 🤔

  • Create a new Project Folder with the name same as the Project (such as, Breast Cancer Prediction)

  • Inside this Project Folder there has to be three sub-folders or files-

    1 ) Dataset Folder - This folder contains the dataset that is provided for analysis and model building.

    2 ) Model Folder - This folder contains the project file. Make sure that the project file is formatted properly and is descriptive.

    3 ) README.md File - This file contains the idea and process of model building. It contains concise and lucid explanation of libraries and tools used, algorithms applied and the reasons to apply them. This file is optional if the project file already contains these contents but it's always preferred to include it.

Our Contributors !! ✨

Thanks to these wonderful people: ✨

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A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.

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