Machine Learning- Level 1 Module 1- Miranda

Overview of things that I learned

Technical Area:

  • Learned more about overview concepts of Machine learning and some machine learning algorithms by watching the lecture videos
  • Learned more about fundamental ideas about NLP and some networks like Vanilla Neural Networks, Recurrent Neural Networks (RNNS), and Long Short Term Memory Networks (LSTM) by studying resources and slides
  • Learned about web scraping and data mining

Tools:

  • BeautifulSoup
  • PyTorch
  • TensorFlow
  • Spacy

Soft Skills:

  • Being more prepared for machine learning and NLP as a whole
  • Get more familiar about how to code with Python and Java

Achievements and tasks:

  • Learned about concepts of Machine Learning and web scraping
  • Built virtual environment
  • Became more familiar with git hub and used git commands to create my repository
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