Project 2 _SoundCloud_Scraping

(2019 JAN 25) For the project 2, scraped top 50 songs from 30 categories and related songs from SoundCloud using BeaufitulSoup and Selenium. Also, used Skcit-learn linear regression tools to predict the popularity of top 50 songs

Goal:

Using information we scrape the web, build linear regression models from which we can learn about movies, sports, or categories.

Skills:

• basics of the web (requests, HTML, CSS, JavaScript)
• web scraping
• numpy and pandas
• statsmodels, scikit-learn

Analysis:

• linear regression is required, other regression methods are optional