Applied Text Mining in Python

This course is part of Applied Data Science with Python Specialization

Instructor: V.G. Vinod Vydiswaran

What you'll learn

  •   Understand how text is handled in Python
  •   Apply basic natural language processing methods
  •   Write code that groups documents by topic
  •   Describe the nltk framework for manipulating text

    • Skills you'll gain

  •   Scikit Learn (Machine Learning Library)
  •   Natural Language Processing
  •   Data Manipulation
  •   Data Processing
  •   Text Mining
  •   Feature Engineering
  •   Pandas (Python Package)
  •   Data Cleansing
  •   Supervised Learning
  •   Unsupervised Learning

    • There are 4 modules in this course

    This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.

    Module 2: Basic Natural Language Processing

    Module 3: Classification of Text

    Module 4: Topic Modeling

    Explore more from Data Analysis

    Text Mining and Analytics

    Select Topics in Python: Natural Language Processing

    Applied Machine Learning in Python

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