Dushyant - Machine Learning (Level 1) Pathway

[Dushyant]

Module 1

Overview of things learned:

1. Technical Area:

   • Learned how web scraping is achieved by using Beautiful Soup

   • Learned about basic Machine Learning concepts and how different models are used

   • Gained an understanding of NLP and Recommender Systems

2. Tools:

   • Google Colab

   • BeautifulSoup

   • Jupyter Notebooks

   • Git/GitHub

3. Soft Skills:

   • Learned about the workflow of ML projects

   • Understood the importance of ethics in data mining

   • Learned how helpful forums and GitHub can be when learning new concepts

Achievement Highlights:

• Practiced web scraping on some basic HTML pages and DiscourseHub community forums. The Beautiful Soup documentation was quite helpful

• Properly set up my work environment and familiarized myself with all the tools

• Learned about ML concepts and models from the webinars and other resources provided

Tasks:

• Successfully prepared my workspace

• Watched the webinars provided and learned about the concepts that will be needed for future modules

• Learned and practiced web scraping using Beautiful Soup

• Understood what a typical ML project’s workflow is

• Read about NLP and how it is used today. I used a recommender system as an example to improve my understanding

Hurdles:

• Training an ML model that classifies textual input as positive/negative sentiment was a bit difficult but I got a hang of it after looking at similar examples and learning about common bugs through forums.

[Dushyant]

Machine Learning - Level 1 Module 2 - Dushyant

Overview of things learned: Technical Area: Learned how to use web scraping tools like BeautifulSoup and Selenium Learned about cleaning data as well as data pre-processing Understood how to store data in a CSV or JSON file Tools: BeautifulSoup Jupyter Notebooks Selenium VSCode Soft Skills: Gained an understanding of common bugs encountered while web scraping and learned how to debug my code faster using online resources Enhanced my knowledge about HTML, CSS, and XPath Achievements: …

[Dushyant]

Machine Learning Level 1 - Module 3 - Dushyant Chaudhary

Overview of things learned: Technical Area: Used pandas to organize and clean the scraped data Used Rake, NumPy, and sklearn to create a simple recommender system Gained an understanding of cosine similarity and applied it in my model Used matplotlib to plot some graphs about the data and learned about balancing data Tools: Jupyter Notebooks Pandas, numpy, csv, matplotlib Soft Skills: Explored many new libraries and modules Enhanced my knowledge about data frames Collaborated with my…

[Dushyant]

Machine Learning Level 1 - Module 4 - Dushyant Chaudhary

Overview of things learned: Technical Area: Learned about advanced models like BERT, xlm, roberta, distilbert Learned how to use SimpleTransformers library in the model Gained an understanding of combining an advanced model (BERT) and a simple one (logistic regression) Used matplotlib to plot some graphs about the data and learned about balancing data Tools: Jupyter Notebooks Google Colab SimpleTransformers Pandas, numpy, csv, matplotlib Soft Skills: Enhanced my knowledge about advan…