* CBOW
* Probability models
* Sentiment Analysis
* Word Embeddings
* LSH
* POS
* N-grams
* GRU's
* RNN's
* LSTM's
* Transformers
* Attention layers
* Siamese model
* Triplet loss
* Reformers
* Words and Frequency representation
* Sentemint Analysis using Naive Bayes
* Predict relationships among words using PCA
* Naive Machine Translation and LSH
* Auto Correct system
* Parts-of-Speech Tagging (POS)
* Language Models Auto-Complete System
* Word Embeddings and the CBOW model
* Sentiment Analysis with Deep Neural Networks
* Deep N-grams
* Named Entity Recognition (NER)
* Question duplicates
* Calculating the Bilingual Evaluation Understudy (BLEU) score
* Neural Machine Translation
* Transformer Summarizer
* SentencePiece and BPE
* T5 SQuAD Model using Colab
* Question Answering using T5
* BERT Loss Model using Colab
* Chatbot using trax reformer