Python-based football analysis projects, data capturing, and Web Scraping.
-
Updated
Nov 26, 2023 - Jupyter Notebook
Python-based football analysis projects, data capturing, and Web Scraping.
Projects focused on web scraping "coolblue". Including a quick analysis of the occurrence of smartphone brands offered on their website.
performing sentiment analysis on reviews of Apple mobile collecting info from website using the BERT model.
In this project, we predicted if the Falcon 9 first stage will land successfully by following the data science methodology.
Developing a football match prediction system for Serie A by scraping and analyzing team statistics, then evaluating the accuracy of predictions against actual match outcomes for comprehensive performance assessment.
Project is aimed at scraping data from www.allrecipes.com, preparing data for analysis. Next stage of the project is going to include exploratory analysis of the gathered data.
Web scraping and data analysis
A Python web scraper that gathers product data from Amazon
Repository Containing UK Groceries Images
Personal data analysis projects done to cover topics on web scraping, data quarying, cleaning, exploration, correlation and virtualization.
Webscraping for product analysis
Web scrapes data from the internet using python, and then uses the code to run an algorithm in C++ to predict winners of NFL games
Browse through different sites and pick on to scrape. Check the "Project Ideas" section for inspiration. Identify the information you'd like to scrape from the site. Decide the format of the output CSV file. Summarize your project idea and outline your strategy in a Jupyter Notebook.
Explore my GitHub repo for OLX.com.pk analysis. Program scrapes data, performs analysis, and offers insights into Pakistan's e-commerce and classifieds market
A repository for Python code to webscrape text data
Showcase visualizations about Common Japanese Words in YOASOBI Lyrics
Add a description, image, and links to the webscraping-data topic page so that developers can more easily learn about it.
To associate your repository with the webscraping-data topic, visit your repo's landing page and select "manage topics."