Mobile Price Prediction

**Mobile Price Prediction**

Developed an end-to-end machine learning pipeline to predict smartphone prices using real-world mobile listings collected through web scraping.

The project involved data collection, data cleaning, exploratory data analysis (EDA), feature engineering, and training multiple machine learning models to compare their performance and identify the best predictive approach.

Applied machine learning techniques to analyze pricing factors and build an accurate prediction model based on smartphone specifications and market data.