Predict Phone Number Price

This project tackles predicting the sale price of phone numbers listed on rond using machine learning.

Contents

• Scraper: Python scripts to scrape phone number listing data from rond website
• Preprocess: Cleans and preprocesses scraped data for modeling
• EDA: Exploratory data analysis and visualization on cleaned data
• Modeling: Trains ML models to predict phone number price
  • Classic Ml algorithms for instance Decision Tree regressor, Random forest regressor (scikit-learn)
  • 1D Convolutional Neural Network (PyTorch)

Overview

This is an end-to-end data science project, covering:

Web scraping Data cleaning Feature engineering Exploratory data analysis Machine learning modeling Model evaluation The methodology, analysis, and results are documented in detail in the corresponding folders and Python notebooks.