Machine Learning Level 1 Module 3 Self Assessment - Asritha

Technical Areas:

  • Cleaned data using pandas from the scraped csv file that was done last week
  • Organized and visualized the data based on categories


  • Visual Studio Code
  • Jupyter Notebook
  • Pandas

Soft Skills:

  • Understood the code examples from the webinars and resource pdfs on the module by going line by line
  • Watched YouTube videos for help


  • Successfully cleaned and organized the data to transform them into world embeddings (TF-IDF)
  • Visualized the data with graphs and charts
  • Learned about the various classification models


  • Watched the webinars related to the tasks asked in the module
  • Cleaned the data and calculated the distance metric

Problems faced:

  • Still not finished with the classification model yet as I’m trying to figure out how to accurate calculate the Accuracy, Precision, Recall, and F1-Score metrics