Hello everyone, welcome to NLP Interesthip. I will be uploading slides and notebooks here that we will be learning during this project. For every module, there will be 1 notebook and 1 slide.
Feel free to utilise these slides and notebooks for your learnings.
Resources
Module-1
- Introduction to NLP, NLP Applications, Corpus, Tokenization, Normalization, Stemming, Lemmatization, Stop Words Removal.
- Slides
- Notebook
Module-2
Module-3
Module-4
Module-5
- EDA Graphs Explained, Boxplots, Voilon Plots, Implementation of various ML Algorithms, K-Fold Cross Validation, Stratified K-Fold Sampling etc.
- Slides
- Notebook
Module-6
Module-7
- Actual Implementation
- Notebook
Youtube Video Links :
- Logistic Regression : https://youtu.be/f6PNgEbopfQ
- Naive Bayes : https://youtu.be/Pv75s9I8-mA
- Performance Metrics : https://youtu.be/Fb6dXbDjCA8
Blog Links:
- BERT - https://medium.com/@pallavipannu678/bidaf-vs-bert-observations-f79c79425b6d
- TF-IDF - https://medium.com/@pallavipannu678/a-simple-chatbot-kissanbot-bb701a1b218a
Links for K-Fold CV and Stratified K-Fold Sampling