[80% Off]Machine Learning: Natural Language Processing in Python (V2) Coupon

Machine Learning: Natural Language Processing in Python (V2) Coupon

Get 80% discount on Machine Learning: Natural Language Processing in Python (V2) course from Udemy.

Machine Learning: Natural Language Processing in Python (V2) Coupon

Get an exclusive 80% Udemy discount for a limited time

Course Details

NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python

  1. Language: English (US)
  2. Offer: 80% discount
  3. Total Ratings: 4.6
  4. Organization: Udemy
  5. Course Lenght: 22 hours on-demand video

What You will learn from this course?

  1. How to convert text into vectors using CountVectorizer, TF-IDF, word2vec, and GloVe
  2. How to implement a document retrieval system / search engine / similarity search / vector similarity
  3. Probability models, language models and Markov models (prerequisite for Transformers, BERT, and GPT-3)
  4. How to implement a cipher decryption algorithm using genetic algorithms and language modeling
  5. How to implement spam detection
  6. How to implement sentiment analysis
  7. How to implement an article spinner
  8. How to implement text summarization
  9. How to implement latent semantic indexing
  10. How to implement topic modeling with LDA, NMF, and SVD
  11. Machine learning (Naive Bayes, Logistic Regression, PCA, SVD, Latent Dirichlet Allocation)
  12. Deep learning (ANNs, CNNs, RNNs, LSTM, GRU) (more important prerequisites for BERT and GPT-3)
  13. Hugging Face Transformers (VIP only)
  14. How to use Python, Scikit-Learn, Tensorflow, +More for NLP
  15. Text preprocessing, tokenization, stopwords, lemmatization, and stemming
  16. Parts-of-speech (POS) tagging and named entity recognition (NER)

About Course Instructor

Lazy Programmer Inc : Today, I spend most of my time as an artificial intelligence and machine learning engineer with a focus on deep learning, although I have also been known as a data scientist, big data engineer, and full stack software engineer

Leave a Reply

Your email address will not be published.

You May Also Like