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NLP and Text mining with python(for absolute beginners only)
Rating: 3.9 out of 5(416 ratings)
9,956 students

NLP and Text mining with python(for absolute beginners only)

Learn Natural Language Processing using Python from experts with hands on examples and practice sessions.
Created byVenkata Reddy AI Classes
Last updated 10/2018
English

What you'll learn

  • After the completion of this course, you will have good understanding of NLP.
  • You will approach algorthms to solve real world NLP problems.
  • You will be able to implement sentiment analysis
  • You will be able to perform document classification

Course content

3 sections • 33 lectures • 2h 21m total length

  • Introduction to Text Mining6:10
  • Need for Preparation Before Text Mining4:33
  • Getting Ready for Data Preparation3:58
  • Reading Text Data as Corpus5:53
  • Text Data Cleaning Stages3:09
  • Tokenizing4:48
  • Stop Words7:47
  • Stemming and Lemmatizing6:47
  • Final Cleaning using Regular Expressions4:57
  • LAB_Data Cleaning Case Study on News Data7:18
  • Document Term Matrix5:15
  • LAB_ Document Term Matrix4:31
  • NLP and Text Mining Basics Conclusion2:32

Requirements

  • Be able to understand the Python syntax and familiar with basics of Data Science.
  • Prerequisite course : Machine Learning Made Easy : Beginner to Expert using Python
  • Knowledge of Text Processing will be advantageous.
  • Knowledge of ML Algorithms

Description

Want to know how NLP algorithms work and how people apply it to solve data science problems? You are looking at right course!


This course has been created, designed and assembled by professional Data Scientist who have worked in this field for nearly a decade. We can help you to understand the NLP while keeping you grounded to the implementation on real and data science problems.


We are sure that you will have fun while learning from our tried and tested structure of course to keep you interested in what coming next.

Here is how the course is going to work:

  • Session 1: Get introduced to NLP and text mining basics, NLTK package and learn how to prepare unstructured data for further processing.

  • Session 2: Lets you understand sentimental analysis using a case study and a practice session.

  • Session 3: Teaches you document categorization using various machine learning algorithms.


Features:   

  • Fully packed with LAB Sessions. One to learn from and one to do it by yourself.   

  • Course includes Python code, Datasets, ipython notebook and other supporting material at the beginning of each section for you to download and use on your own.

Who this course is for:

  • Data Scientists who are curious about NLP.
  • Data Analysts working on text data and want to get some insight using NLP.
  • Students who want to learn NLP.

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