lets-understand-ml-from-scratch

Core ML concepts explained from scratch Manual implementations of algorithms (like Linear Regression, KNN, etc.) Visualizations to support learning Well-documented code and theory

🎓 Placement Prediction using Linear Regression

This project predicts whether a student will get placed based on their CGPA and IQ score using a Linear Regression model.

📌 Features

• Input features: cgpa, iq
• Output: placement (0 = not placed, 1 = placed)
• Model: Scikit-learn's LinearRegression
• Serialization: Model saved using pickle
• Visualization: 2D/3D plots using matplotlib

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📁 Folder Structure