https://github.com/karthikarajagopal44/flipkart-web-scraping

https://github.com/karthikarajagopal44/flipkart-web-scraping

Last synced: 18 days ago
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• Host: GitHub
• URL: https://github.com/karthikarajagopal44/flipkart-web-scraping
• Owner: KarthikaRajagopal44
• Created: 2025-01-09T13:26:49.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2025-01-09T13:28:40.000Z (21 days ago)
• Last Synced: 2025-01-09T14:39:56.861Z (21 days ago)
• Language: Jupyter Notebook
• Size: 345 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# flipkart-web-scraping

Objective: Conduct extensive web scraping to extract, clean, and analyze iPhone data from Flipkart

• Solution: Gathered and cleaned data from Flipkart, extracting essential details for 490 iPhone entries.

• Employed advanced data preprocessing techniques to clean and prepare the scraped data for analysis.

• Developed a predictive model using Linear Regression to forecast iPhone prices based on the extracted 

features.

• Evaluated the model's performance on testing data, demonstrating proficiency in web scraping, data 

preprocessing, and predictive modeling.