This was my second project for the Metis data science bootcamp.
For this project, I created a webscraper which uses the Python package, BeautifulSoup, to scrape data for 15 years worth of films from IMDB. I then explored predicting quality of films with linear regression. I created different models to predict IMDB user ratings and Metacritic score as my measures of quality.
You can read more about the web-scraping portion of this project on my blog here.
Read about the analysis portion of the project here.
####Technologies used:
- Python
- BeautifulSoup for web scraping
- Linear regression for predictions