🧠 Machine Learning from Scratch

This repository contains my journey of learning Machine Learning by implementing core algorithms and working on basic projects.

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📌 Contents

🔹 Algorithms

• Linear Regression
• Logistic Regression

🔹 Projects

• House Price Prediction
• Insurance Cost Prediction
• Employee Turnover Prediction
• Heart Disease Prediction

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⚙️ Technologies Used

• Python 🐍
• NumPy
• Pandas
• Matplotlib
• Scikit-learn

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🚀 What I Learned

• Data preprocessing
• Model training and evaluation
• Regression and classification techniques
• Working with real-world datasets

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📊 Future Improvements

• Add more ML algorithms (KNN, Decision Tree, SVM)
• Implement algorithms from scratch
• Add more real-world projects

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⭐ If you like this repo

Give it a ⭐ on GitHub!