Mobile Phone Price Prediction

This project predicts the price range (Low, Medium, High, Very High) of mobile phones using features like battery power, RAM, camera specs, etc.

Objective

Build a system that can predict pricing for a mobile phone using data on available phones in the market. Predict if the mobile can be priced low/med/high/very high. Explore the data to understand the features and figure out an approach.

Algorithms Used

• Random Forest Classifier
• Scikit-learn for preprocessing & evaluation

Dataset

• Columns include: battery_power, dual_sim, px_height, px_width, ram, etc.
• Target: price_range (0: Low, 1: Medium, 2: High, 3: Very High)

Result

• Model Accuracy: 89%
• Confusion matrix and classification report included

Notebook

All the code is in moblie phone price prediction.ipynb

📌 Author

Reha