Self Assessment - Machine Learning Pathway - Tabassum Alam

Week 1 & 2

Overview of thing learnt
Technical: #Python #webscraping #beautifulsoup
Tools: #python #github
Soft Skills: #communication with team leads, basic #research

Achievement highlights

  1. Built a scraper for the first time
  2. Collected data about tagging system from stack exchange

List of meetings/training attended

  1. Introduction to annotation tools. (watched on my own)
  2. Annotation tools and project structure
  3. Web Scraping Stack Exchange + Machine Learning Model Research
  4. Scrapper Submission + Machine Learning Model Research (watched on my own)

Goals for upcoming weeks

  1. submit scraper
  2. improve scraper based on suggestions
  3. start working on machine learning model research

Tasks Done

  1. Task : Research Annotation Tools
    Hurdles : I had not joined the team when the assignment was given out, so I only had access to the recording explaining the task. Used some intuition and looked at the sample to understand how to conduct my own small research.
  2. Task : Building a scraper
    Hurdles : This was my first time building a scraper, had to research a significant amount about how to use Python and BeautifulSoup to create a craper, used the sample code our team leads shared with us, unsure how to submit my scraper now

Week 3

Overview of thing learnt
Technical : #Python #webscraping #beautifulsoup
Tools : #python #github
Soft Skills : #communication with team leads, basic #research

Achievement highlights

  1. finished scraper and submitted scraper
  2. learned about ML model, tfdif

List of meetings/training attended

  1. Machine Learning model research + planning + Intro to Trello
  2. Annotator check-in and Deliverable update

Goals for upcoming weeks

  1. work with team about ML models
  2. continue learning about ML models

Tasks Done

  1. Task : Sumbit Scraper
    Hurdles : I was not so confident with my scraper, but I met with our leads for feedback!