Machine Learning - Level 1 Module 1 - Harshita Srinivas

Overview of things that I learned

Technical Area:

  • Got an overview of machine-learning algorithms such as Naive Bayes and Logistic Regression by watching videos and tutorials
  • Learned more about fundamental ideas about NLP such as sentiment analysis and emotion recognition. Also explored chatbot building services and the NLTK service
  • Learned about web scraping and data mining to extract data and effectively pre-process it


    • NLTK
    • Natural Language Processing(NLP)
    • Numpy and Pandas

Soft Skills:

  • Understanding NLP and ML in practical scenarios
  • Familiarity with pandas, NumPy and other python packages
  • Understanding of sentiment analysis techniques

Achievements and tasks:

  • Learned about concepts of Machine Learning and web scraping

  • Became more familiar with GitHub and used git commands to create my repository