As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts!
This repository consists of various machine learning projects, and all of the projects must follow a certain template. I wish 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 being able to uploaded 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, data segmentation of the project.
Model - This folder would have your project file (that is .ipynb file) be it analysis or prediction. Other than project file, it should also have a 'README.md' using this template and 'requirements.txt' file which would be enclosed with all needed add-ons and libraries that are included in the project.
- Fork the repository
- Clone your forked repository using terminal or gitbash.
- Make changes to the cloned repository
- Add, Commit and Push
- Then in Github, in your cloned repository find the option to make a pull request
 Script Winter of Code 2021 |
| Serial No. | Project Name | Goal of the Project | Link |
|---|---|---|---|
| 01 | Credit Card Fraud Detection | The main aim of the project is to make a model that helps to predict credit card fraud based on the given dataset. | Click Here |
| 02 | MNIST Dataset Classification | Implement a machine learning classification algorithm on image to recognize handwritten digits from a paper. | Click Here |
| 03 | Character Recognition | Implement character recognition in natural languages. Character recognition is the process of automatically identifying characters from written papers or printed texts. | Click Here |
| 04 | Height and Weight Prediction | Build a predictive model for determining height or weight of a person. Implement a linear regression model that will be used for predicting height or weight. | Click Here |
| 05 | Fake News Detection | Build a fake news detection model with Passive Aggressive Classifier algorithm. The Passive Aggressive algorithm can classify massive streams of data, it can be implemented quickly. | Click Here |
| Level of Issues | Points Allocated |
|---|---|
| Beginner | 10 Points 🔰 |
| Easy | 20 Points 🌱 |
| Medium | 30 Points 🌕 |
| Hard | 40 Points 🔥 |
Checkout your Leaderboard here, SWOC 2.0 Leaderboard for ML-Crate
Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀
 Abhishek Sharma |
 Vaibhab Gupta |
 A.S.L.Manasa |
 Harsh Pal |
 Neel Shah |
 Rohan Sharma |
 Shreya Pandey |
If you liked working on this project, do ⭐ and share this repository.
🎉 🎊 😃 Happy Contributing 😃 🎊 🎉
If you want to contact me, you can reach me through social handles.
© 2021 Abhishek Sharma
