[Udemy Course] Natural Language Processing: NLP In Python with Projects by Data Is Good Academy

What you’ll learn

Get to learn about different Applications of NLP in real world.

Learn different Text Processing Techniques used in NLP.

Learn how to Clean a Text Dataset.

Learn to Extract Features from a Text Dataset.

Learn how to Visualize the Text Data.

Learn about different Text Extraction Techniques.

Learn about Bag of Words and TF-IDF Algorithms.

Learn about N Grams Analysis.

Learn to perform Text Classification using Machine Learning Algorithms.

Learn to use the Naïve Bayes and SVM Classifier for Text Classification.

Interested in Learning Natural Language Processing?

This course is a perfect fit for you.

This course will take you to step by step into the world of Natural Language Processing.

NLP is a subfield of linguistic, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.

It will cover all common and important algorithms and will give you the experience of working on some real-world projects.

This course will cover the following topics:-

1. Introduction to NLP.

2. Feature Engineering for NLP.

3. Data Cleaning for NLP.

4. Feature Extraction for NLP.

5. Data Visualization for NLP.

6. Text Classification.

We have covered each and every topic in detail and also learned to apply them to real-world problems.

There are lots and lots of exercises for you to practice and also 2 bonus NLP Projects “Sentiment analyzer” and “Drugs Prescription using Reviews”.

In this Sentiment analyzer project, you will learn how to Extract and Scrap Data from Social Media Websites and Extract out Beneficial Information from these Data for Driving Huge Business Insights.

In this Drugs Prescription using Reviews project, you will learn how to Deal with Data having Textual Features, you will also learn NLP Techniques to transform and Process the Data to find out Important Insights.

You will make use of all the topics read in this course.

You will also have access to all the resources used in this course.

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Product Details: https://bit.ly/37nNKCK

File size: 2.9GB

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