Machine Learning Laptop Price Predictor
A regression pipeline that compares five machine-learning models and predicts laptop prices from hardware specifications.
Status:Portfolio project; repository reports Decision Tree R² of 0.86
View source on GitHub (opens in a new tab)- Services
- Machine Learning
- Stack
- Python, scikit-learn, Pandas, NumPy +2 more
The results
5
Regression models compared
0.86
Decision Tree R²
Our solution
The project performs feature engineering and exploratory analysis, trains Linear, Ridge, Lasso, KNN, and Decision Tree regressors, and compares R-squared and mean absolute error.
The outcome
Shows practical model selection, feature engineering, regression evaluation, and communication of comparative results.
Best for
Pricing analytics, product valuation, regression modeling, and machine-learning model comparison.
The stack behind it
- Backend
- Python
- AI & ML
- scikit-learn
- Data & BI
- Pandas
- NumPy
- Matplotlib
- Seaborn
