NLP in Python

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About Course

NLP in Python

Welcome to the best Natural Language Processing course on the internet! This course is designed to be your complete online resource for learning how to use Natural Language Processing with the Python programming language.

In the course, we will cover everything you need to learn to become a world-class NLP practitioner with Python.

We’ll start with the basics, learn how to open and work with text and PDF files with Python, and learn how to use regular expressions to search for custom patterns inside text files.

Afterwards, we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as the state of the art Spacy library for ultra-fast tokenization, parsing, entity recognition, and lemmatization of text.

We’ll understand fundamental NLP concepts such as stemming, lemmatization, stop words, phrase matching, tokenization, and more!

Next, we will cover Part-of-Speech tagging, where your Python scripts will be able to automatically assign words in a text to their appropriate part of speech, such as nouns, verbs, and adjectives, an essential part of building intelligent language systems.

We’ll also learn about named entity recognition, allowing your code to automatically understand concepts like money, time, companies, products, and more simply by supplying the text information.

Through state of the art visualization libraries, we will be able to view these relationships in real-time.

Then we will move on to understanding machine learning with Scikit-Learn to conduct text classification, such as automatically building machine learning systems that can determine positive versus negative movie reviews or spam versus legitimate email messages.

We will expand this knowledge to more complex unsupervised learning methods for natural language processing, such as topic modelling. Our machine learning models will detect topics and major concepts from raw text files.

This course even covers advanced topics, such as sentiment analysis of the text with the NLTK library and creating semantic word vectors.

What are you waiting for? Become an expert in natural language processing today!

I will see you inside the course,

Who this NLP course is for:

  1. Python developers are interested in learning how to use Natural Language Processing.
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What Will You Learn?

  • Learn the basics of NLP - Natural Language Processing with Python

Course Content

NLP in Python

  • Introduction to NLP
    00:00
  • NLTK – Introduction
    00:00
  • Structured vs Unstructured da
    00:00
  • Reading Text Data
    00:00
  • Exploring the data
    00:00
  • NLP Pipeline for Text data
    00:00
  • Removing Punctuation
    00:00
  • Tokenization
    00:00
  • Removing stop words
    00:00
  • Stemming
    00:00
  • Porter Stemmer in Python
    00:00
  • Lemmatization in Python
    00:00
  • WordNet Lemmatizer in NLTK python
    00:00
  • Vectorization in Python
    00:00
  • Count Vectorization in Python
    00:00
  • N-Grams Natural Language Processing
    00:00
  • TF-IDF Vectorizer Python
    00:00
  • Feature Engineering
    00:00
  • Feature Engineering – Feature Creation
    00:00
  • Feature Evaluation
    00:00
  • Power Transformations
    00:00
  • Evaluation Metrics: Accuracy, Precision and Recall
    00:00

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