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techprojects

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This project predicts sales for Big Mart 🛒📈 using machine learning algorithms. By analyzing various factors such as product attributes, store location, and customer demographics, it aims to provide accurate sales forecasts to enhance inventory management and strategic planning.

  • Updated Jul 6, 2021
  • Jupyter Notebook

This project predicts the Air Quality Index (AQI) using machine learning techniques. By analyzing historical air quality data and relevant environmental factors, it provides accurate forecasts to help raise awareness and promote healthier living conditions in urban areas.

  • Updated Nov 15, 2021

This project features an image scraper built with Python, designed to extract images from websites efficiently. Using libraries like BeautifulSoup and Requests, it automates the process, making it easy to gather images for various applications, from data analysis to creative projects.

  • Updated Jun 4, 2024
  • Jupyter Notebook

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