NLP – Natural Language Processing with Python
Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing
What you’ll learn
-
Learn to work with Text Files with Python
-
Learn how to work with PDF files in Python
-
Utilize Regular Expressions for pattern searching in text
-
Use Spacy for ultra fast tokenization
-
Learn about Stemming and Lemmatization
-
Understand Vocabulary Matching with Spacy
-
Use Part of Speech Tagging to automatically process raw text files
-
Understand Named Entity Recognition
-
Visualize POS and NER with Spacy
-
Use SciKit-Learn for Text Classification
-
Use Latent Dirichlet Allocation for Topic Modelling
-
Learn about Non-negative Matrix Factorization
-
Use the Word2Vec algorithm
-
Use NLTK for Sentiment Analysis
-
Use Deep Learning to build out your own chat bot
Who this course is for:
- Python developers interested in learning how to use Natural Language Processing.