Technical Skills I Learned:
- Web Scraping and Crawling Discourse Forums using Python to create pickle files of topic and text submissions
- Conducted comprehensive research on terms including BERT, Tokenization, Embedding, Word Vectors, TF-IDF, One-Hot Encoding, RNN, LSTM, and Transformer Neurals
Tools I Used
- Google Colab
- Beautiful Soup
Soft Skills I Learned
- Communicating through weekly team meetings, STEM-Away Forums, and Slack
- Being transparent when my code runs into problems and asking for help
- Asking clarifying questions
Three Achievement Highlights
- Creating a Web Crawler to iterate through large sets of data and store topic submissions of a discourse forums
- Creating a Web Scraper to store text submissions of a discourse forum
- Becoming familiar with and using Google Colab
List of Meetings/Training Attended Including Social Team Events
- Attended Weekly Meetings held twice a week
- Git Webinar
- All Machine Learning Deep Dive Webinars
- Asana Webinar
Goals for the Upcoming Week
- Review my Web Scaper/Crawler Code to fix bugs and empty text submissions into a pickle file
- Create a recommender system using BERT
Tasks Completed
- Attended weekly meetings twice a week
- Submitted reports twice a week via the STEM Away platform
- Created a Web Scraper and Crawler to access data from a CodeCademy Discourse Forum
- Conducted research to gain theoretical understanding of BERT and associated terms