Sanik Malepati - Machine Learning - Self Assessment

Week: Weeks 1-4, 7/20-8/14

Overview of Things Learned

  • Web Scraping using BeautifulSoup
  • Data Pre-Processing (Data Cleaning, Data Transformation, Data Reduction)
  • Bert/Simple Transformers (Ideology and coding implementation)

Technical Area

  • Data analysis with Python
  • Web Scraping with Python (BeautifulSoup)
  • Using Bert


  • Github
  • Google Collab
  • Bert
  • Asana

Soft Skills

  • Communicating with a team to work on a project

Achievement Highlights

  • Wrote an analysis on the cons of CodeChef to be used as data for the machine learning model
  • Used BeautifulSoup to scrap data from Codecademy
  • Understood BERT and learned how to use BERT

Meetings Attended

  • Attended most meetings or watched the recording if I couldn’t make it

Goals for the Upcoming Week

  • Make a machine learning algorithm with the right hyperparameters to best fit the data

Detailed Statement of Completed Tasks

  • With a small team, we analyzed that CodeChef wasn’t a suitable website to collect data from for our machine learning model
  • Used BeautifulSoup to web scrape from the code academy forums, compiled the forum title, upvotes, tags, and comments, and store the data in a CSV
  • Used data pre-processing techniques like tokenization to get the data ready to train a machine learning algorithm