backend for "YangBA Data Fetcher" project
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Updated
Sep 2, 2024 - Python
backend for "YangBA Data Fetcher" project
This project extracts data through web scraping using Beautiful Soup and calculate parameters by analyzing the text present within a webpage
Data science virtual internship programme by British Airways through Forage!
This is a NLP project, where we try to generate tags for a given movie, after extracting details about the movvie using the IMDb ID of the movie.
A script which scrapes the human-readable text from a web page and calls OpenAI's GPT-3 API to generate three descriptions of differing lengths, using the scraped text in the prompts. Has the option to abide by OpenAI's free account rate limiting when used on a CSV file of multiple URLs.
The Web Scraping Club Free Repository
A project made for practicing webscrapping with Python
A simple AI recipe generator using ML and DL models 🍔🍨🍷
Web-scraper to find up-to-date internship opportunities in tech
The Amazon Bestseller Scraper is a Python-based web scraping tool that allows you to extract product details from the Amazon Bestsellers Fashion page effortlessly. Whether you're a data enthusiast, an aspiring data scientist, or simply curious about the top fashion products on Amazon, this tool is designed to help you gather valuable insights.
Try simple web scraping on Hacker News, Empireonline website with BeautifulSoup and add titles to .txt file.
Scraping movie transcripts from multiple pages using beautifulsoup
Analyzing smartphone specifications data extracted from GSMarena for insights into market trends, brand preferences, and technological advancements. Includes data extraction scripts, database storage, statistical analysis, and visualization tools.
Web Scraping using BeautifulSoup [Python]
This project is a decision support system for vehicle pricing and sales forecasting, utilizing machine learning and deep learning techniques. The system provides various functionalities such as extracting information about motorcycles and electric vehicles, predicting sell/buy prices, and forecasting annual sales.
Introduction: The "Bookstore Analytics" project involves the analysis of a dataset containing information about books available in an online bookstore. A web scraping application was build for this
Full Scale portfolio project used to aggregate sales data from the GSMLS (quarterly), clean and transform the data and store in a SQL database for future machine learning analysis
My solutions to 2023 advent of code + web scraping
A webscraping finance Python library available on PyPi.
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