NLP – Natural Language Processing with Python

Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing

Created by: Jose Portilla
Head of Data Science at Pierian Training

Created by: Pierian Training
Data Science and Machine Learning Training

What Will I 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

Requirements

• Understand general Python
• Have permissions to install python packages onto computer
• Internet connection

Target audience

• Python developers interested in learning how to use Natural Language Processing.