Linear Regression Explained with Python Code | Predict House Prices
Description:
📈 Learn Linear Regression from scratch with real code! We predict California house prices using scikit-learn, evaluate with R² and RMSE, and visualize predictions vs actual values.
🔥 What You'll Learn:
• How Linear Regression finds the best-fit line through data
• Building a price prediction model with sklearn
• Evaluating with R² score and RMSE
• Visualizing predicted vs actual prices
• Feature importance — which features matter most?
• When Linear Regression fails and what to try next
💻 Tools: Python, scikit-learn, matplotlib, California Housing Dataset
#LinearRegression #MachineLearning #Python #DataScience #HousePricePrediction