Hands On Training

Advanced NLP with spaCy

DataCamp

(3)

Course Features

Duration

5 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Advanced

Teaching Type

Self Paced

Video Content

5 hours

Course Description

If you deal with text frequently, it is worth learning more. What does it all mean? What is the meaning of the context? What's the purpose of these words What products or companies are being mentioned? What texts are similar to each other? This course will show you how to use spaCy, an industry-standard library that allows for NLP in Python. This course will teach you how to build advanced natural language understanding systems that use both rule-based and machine approaches.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Natural Language Processing in Python

What You Will Learn

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches

In this course, you'll learn how to use spaCy, a fast-growing industry standard library for NLP in Python, to build advanced natural language understanding systems, using both rule-based and machine learning approaches

Course Content

Expand all sections

Module 1: Finding words, phrases, names and concepts

Module 2: Large-scale data analysis with spaCy

Module 3: Processing Pipelines

Module 4: Training a neural network model

Course Instructors

Ines Montani

spaCy core developer and co-founder of Explosion AI

Ines is a developer specialising in applications for AI, Machine Learning and Natural Language Processing technologies. She's the co-founder of Explosion AI and a core developer of the spaCy NLP libr...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%