# overview

In the below series of blogs, I will try to cover NLP in detail. Some of them are

* [x] Basics of NLP like Tokenization, Lemmatization
* [ ] Feature extraction methods 
  * [x] BOW
  * [x] TFIDF
  * [x] Word2Vec
* [ ] Basic text classification using ML
* [ ] Writing end to end deployment pipeline for above ML algorithm
* [ ] Text classification
  * [ ] using LSTM's
  * [ ] using word level CNN
  * [ ] using char level CNN
* [ ] Seq2Seq modelling using RNN
  * [ ] NMT
  * [ ] some types of multi label classification
  * [ ] Attention mechanism
  * [ ] POS tagging
  * [ ] Chatbot design
* [ ] Seq2Seq modelling using CNN
* [ ] Transfer learning using BERT, ELMO