- Learned more about overview concepts of Machine learning and some machine learning algorithms by watching the lecture videos
- Learned about fundamental ideas about NLP and some networks like Vanilla Neural Networks, Recurrent Neural Networks (RNNS), and Long Short-Term Memory Networks (LSTM)
- Learned about web scraping and data mining
- Got a good overview of ML better from Kunal Singh’s video
- Understood application of ML better via sorting IMDB movie example.
- Got an idea about crawling, scraping, and NLP.
- Learn Python better
Achievements and tasks:
- Learned about concepts of Machine Learning and web scraping
- Got all of the required material installed (Python libraries, VS Code)
- Built virtual environment
- Learned a lot of new stuff about git and git-hub