Technical:
- Using a bag of words to convert the useful information (word vector)
- Web Scraping
- understanding VS Code and CVS files more
Tools:
- Google Colab
- VS Code
- nltk
- pandas
Soft Skills:
- Asked group members questions
- Looked at various blogs and youtube videos to help me understand concepts and code
Achievements:
- Was able to figure out Bag of Words in my code
- Figured out how to do 7 features and implement them in my code
- Clean the data so that I can use it in my recommender system
- Became more familiar with VS code
Tasks:
- Cleaned the data so that it can be used for my model
- Understood what Bag of Words was
- Figured out cosine similarity
Hurdles:
- I kept running into issues with my code because I kept getting little errors
- I had trouble downloading a package, but eventually figured it out
- I still do not fully understand all the concepts like cosine similarity
- I am not done with my code, I am trying to figure out how to debug and implement the 5 simple machine learning classification models and train them on my data.