Natural Language Processing: Machine Learning NLP In Python
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Natural Language Processing: Machine Learning NLP In Python
A Complete Beginner NLP Syllabus. Practicals: Linguistics, Sentiment, Scrape Tweets, RNNs, Chatbot, Hugging Face & more!
Created by Nidia Sahjara, Rajeev D. Ratan | 17.5 hours on-demand video course
This course takes you from a beginner level to being able to understand NLP concepts, linguistic theory, and then practice these basic theories using Python – with very simple examples as you code along with me. Get experience doing a full real-world workflow from Collecting your own Data to NLP Sentiment Analysis using Big Datasets of over 50,000 Tweets.
What you’ll learn
- Libraries: Hugging Face, NLTK, SpaCy, Keras, Sci-kit Learn, Tensorflow, Pytorch, Twint
- Linguistics Foundation To Help Learn NLP Concepts
- Deep Learning: Neural Networks, RNN, LSTM Theory & Practical Projects
- Scrape Unlimited Tweets Using An Open Source Intelligence Tool
- Machine Reading Comprehension: Create A Question Answering System with SQuAD
- No Tedious Anaconda or Jupyter Installs: Use Modern Google Colab Cloud-Based Notebooks for using Python
- How To Build Generative AI Chatbots
- Create A Netflix Recommendation System With Word2Vec
- Perform Sentiment Analysis on Steam Game Reviews
- Convert Speech To Text
- Machine Learning Modelling Techniques
- Markov Property – Theory & Practical
- Optional Python For Beginners Section
- Cosine-Similarity & Vectors
- Word Embeddings: My Favourite Topic Taught In Depth
- Speech Recognition
- LSTM Fake News Detector
- Context-Free Grammar Syntax
- Scrape Wikipedia & Create An Article Summarizer
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