Pavitra_Walia - Machine Learning Pathway

Technical Areas Involved In/ Covered:

Web Scraping

  1. Scrapy
  2. BeautifullSoup4
  3. Selenium

Natural Language Processing Algorithms

  1. Bag of Words
  2. TF-IDF Vectorization
  3. Doc2Vec
  4. BERT, DistilBERT

Machine Learning Classification Models

  1. Support Vector Machine (SVM)
  2. Logistic Regression

User Interface Development

  1. Flask
  2. StreamLit

Application Packaging and Ensemble Dependencies

  1. Docker

Deployment

  1. AWS (EC2, S3)

Agile Software Development

  1. SCRUM

Tools Used

  • Python - Numpy, NLTK, Scikit Learn, Pandas, Keras, PyTorch, Beautiful Soup, Selenium, Scrapy
  • Github
  • Google Colaboratory
  • Trello
  • Google Drive

Meetings Attended/ Conducted

  • Team and Team Lead Meetings
  • Office Hours and Coding Sessions
  • Sprint Planning and Retrospective
  • ML Weekly Lead Meetings
  • ML Training/Brainstorming Sessions with Colin
  • Pathway Leads Meetings