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Hands On Training

Introduction to Natural Language Processing in Python

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course will cover the basics of natural-language processing (NLP). It will show you how to extract topics and separate words from text. Learn how to create fake news classifications. You'll also learn about basic libraries such as NLTK and libraries that use deep learning for NLP problems. This course will assist you in your Python learning.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Python Data Science Toolbox (Part 2)

What You Will Learn

In this course, you'll learn natural language processing (NLP) basics, such as how to identify and separate words, how to extract topics in a text, and how to build your own fake news classifier

You'll also learn how to use basic libraries such as NLTK, alongside libraries which utilize deep learning to solve common NLP problems

Course Content

Expand all sections

Module 1: Regular expressions word tokenization

Module 2: Simple topic identification

Module 3: Named-entity recognition

Module 4: Building a "fake news" classifier

Course Instructors

Katharine Jarmul

Founder, kjamistan

Katharine Jarmul runs a data analysis company called kjamistan that specializes in helping companies analyze data and training others on data analysis best practices, particularly with Python. She ha...

Course Reviews

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