Welcome to the ML - Sandbox repository! This is a collection of my machine learning practice projects where I explore, learn, and build solutions for various datasets and problems. 🚀
This repository is organized into submodules, with each folder representing a distinct project. Click on a project to explore its details.
| 🔢 Project Name | 🔗 Description | 🗂️ Folder |
|---|---|---|
| ❤️ Cardio Tree Classifier | A decision tree-based classifier for predicting heart health risks. | Cardio Tree Classifier |
| 🚕 Linear Regression | Regression model to predict NYC Taxi fares based on various features. | Linear Regression |
| 🍷Wine Quality Prediction | Classical ML project to predict the quality of wines. | Wine Quality Prediction |
| 🎥 Movie Success Prediction | Predict whether a movie is Hit or Flop based on features like genre , season etc. | Movie Success Prediction |
| 🍇 Classify That Fruit | Classify various fruits based on their features. | Classify That Fruit |
| -- |
These projects involve the use of the following tools and libraries:
- Languages: Python 🐍
- Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn,
- Version Control: Git and GitHub
- Clone this repository:
git clone https://github.com/Gurpreet0022/ML-Sandbox.git
- Navigate into repository
cd ML-Sandbox - Initialize and update submodules
git submodule init git submodule update
I welcome suggestions or ideas to improve these projects! Feel free to fork this repository, open an issue, or submit a pull request.
💻 Connect with me on LinkedIn or check out my other repositories here at GitHub.
⭐ If you find this repository helpful, don't forget to give it a star! 🌟