MI-NLP-Reading-Course

Hello! This repository holds all of the weekly notes and other files related to the NLP course. The file structure looks like this:

Each week, reading notes will be formatted as this example: "Wk1.Reading1".
For weeks with coding practice, there will also be a "coding practice" file (using code from the texts read) formatted like this example: "Wk1.Coding".
For weeks with coding practice that demands picture files (e.g. of graphs), there will be a file formatted like this example: "Wk1.Coding.Image1.Title".

Name: Christina Nguyen

Student number: 1004366223

Name		Name	Last commit message	Last commit date
Latest commit History 284 Commits
Presentations (1 and 2)		Presentations (1 and 2)
ResearchPaper		ResearchPaper
Week 10: Transformers 1		Week 10: Transformers 1
Week 11: Transformers 2		Week 11: Transformers 2
Week 12: Transformers 3		Week 12: Transformers 3
Week 1: Understanding tidytext, sentiment analysis, tf-idf, and ngrams		Week 1: Understanding tidytext, sentiment analysis, tf-idf, and ngrams
Week 2: Tidy-Nontidy conversion, Topic modelling, and Twitter archives		Week 2: Tidy-Nontidy conversion, Topic modelling, and Twitter archives
Week 3: Mining NASA metadata and Usenet text		Week 3: Mining NASA metadata and Usenet text
Week 4: Tokens, stopwords, and stem		Week 4: Tokens, stopwords, and stem
Week 5: Lemmatization, word embeddings, regression		Week 5: Lemmatization, word embeddings, regression
Week 7: Deep learning 1		Week 7: Deep learning 1
Week 8: Deep learning 2		Week 8: Deep learning 2
Week 9: Deep learning 3		Week 9: Deep learning 3
Week6: classification, dense neural networks, and LSTM models		Week6: classification, dense neural networks, and LSTM models
A mere maiden.2022-04-18.1200.docx		A mere maiden.2022-04-18.1200.docx
README.md		README.md

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