Project overview
In this project, you’ll assume the role of a data scientist working to predict the winners of English Premier League (EPL) football matches. Using Python libraries like requests, Beautiful Soup, and pandas, you’ll scrape data on EPL match results and team stats from the web.
You’ll gain hands-on experience in web scraping, data cleaning, and merging datasets to create a unified data source primed for machine learning. This project allows you to apply and showcase in-demand data wrangling skills highly relevant to real-world data science projects.
Objective: Scrape, clean, and merge web data on EPL football matches to prepare a dataset for predicting match winners using machine learning.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Working with Python data types, variables, and functions
- Implementing control flow statements like loops and conditionals
- Loading and manipulating audio files using Python libraries
- Installing and importing Python packages like vosk, pydub, and transformers
Projects steps
Step 1: Project Overview
Step 2: Downloading and Exploring the EPL Stats Page
Step 3: Parsing HTML Links
Step 4: Extracting Match Stats
Step 5: Getting Match Shooting Stats
Step 6: Cleaning and Merging Scraped Data
Step 7: Scraping Data for Multiple Seasons and Teams
Step 8: Conclusion
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