Courses – Main

How to convert text into vectors using CountVectorizer, TF-IDF, word2vec, and GloVe

How to implement a document retrieval system / search engine / similarity search / vector similarity

Probability models, language models and Markov models (prerequisite for Transformers, BERT, and GPT-3)

How to implement a cipher decryption algorithm using genetic algorithms and language modeling

How to implement spam detection

How to implement sentiment analysis

How to implement an article spinner

How to implement text summarization

How to implement latent semantic indexing

How to implement topic modeling with LDA, NMF, and SVD

Machine learning (Naive Bayes, Logistic Regression, PCA, SVD, Latent Dirichlet Allocation)

Deep learning (ANNs, CNNs, RNNs, LSTM, GRU) (more important prerequisites for BERT and GPT-3)

Hugging Face Transformers (VIP only)

How to use Python, Scikit-Learn, Tensorflow, +More for NLP

Text preprocessing, tokenization, stopwords, lemmatization, and stemming

Parts-of-speech (POS) tagging and named entity recognition (NER)

Computer Assisted Language learning