🤖 Machine Learning Projects Collection

A curated collection of machine learning projects — covering classification, prediction, clustering, and more — built using Python and popular ML libraries. Perfect for learners, contributors, and developers looking to explore applied machine learning.

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📁 Project Structure

Machine-Learning-Projects/
├── Air Quality_16/
├── Calories Burned Prediction/
├── Credit_card_fraud/
├── Customer Segmentation_07/
├── Diabetes Prediction_04/
├── House Price Prediction_02/
├── Iris Flower Classification_01/
├── Spam Email Detection_22/
├── Weather Prediction_09/
├── Wine Quality Prediction_03/
├── LICENSE
└── README.md

Each folder represents an independent project complete with:

• 📜 Dataset or dataset link
• 📊 Exploratory Data Analysis
• 🤖 Model building & evaluation
• 📈 Visualizations
• 📁 .ipynb or .py implementation

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🔍 Projects Included

Project Name	Category	Algorithm(s) Used
Air Quality_16	Regression	Linear Regression, Random Forest
Calories Burned Prediction	Regression	Linear Regression, XGBoost
Credit Card Fraud	Classification	Logistic Regression, Isolation Forest
Customer Segmentation_07	Clustering	K-Means Clustering
Diabetes Prediction_04	Classification	Logistic Regression, SVM
House Price Prediction_02	Regression	Random Forest, Lasso
Iris Flower Classification_01	Classification	KNN, SVM
Spam Email Detection_22	Classification	Naive Bayes, Logistic Regression
Weather Prediction_09	Classification	Decision Trees, XGBoost
Wine Quality Prediction_03	Classification/Regression	Random Forest, SVM

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📦 How to Use

1. Clone the repository:

   git clone https://github.com/amanantuley/machine-learning-projects.git
   cd machine-learning-projects

2. Navigate to any project folder:

   cd Wine\ Quality\ Prediction_03

3. Open the .ipynb file using Jupyter Notebook or run .py scripts in your preferred IDE.

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🛠 Requirements

Ensure you have the following installed:

pip install numpy pandas matplotlib seaborn scikit-learn jupyter

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🙌 Contributions

Contributions are welcome! Add a new project or improve existing ones:

git checkout -b feature-new-project
git commit -m "Added Breast Cancer Prediction project"
git push origin feature-new-project

Then open a Pull Request 🚀

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📜 License

Licensed under the MIT License

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📬 Contact

Created with ❤️ by Aman Antuley Feel free to connect and explore more!