Price Prediction System
Price Prediction System
Overview
A machine learning-based predictive analytics system that forecasts prices using historical data patterns and regression techniques.
Key Features
- Multiple regression model implementation
- Historical data analysis
- Pattern recognition and trend identification
- Accurate price forecasting
- Data-driven insights for decision making
Technologies Used
- Python
- Scikit-learn
- Pandas
- NumPy
- Matplotlib/Seaborn (for visualization)
Regression Models Used
- Linear Regression
- Decision Tree Regression
- Random Forest Regression
Applications
- Pricing strategy optimization
- Market analysis
- Financial forecasting
- Inventory management
- Business intelligence