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Feature Engineering for NLP in Python

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Course Report - Feature Engineering for NLP in Python

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course will show you how to extract useful information from text and transform it into a format suitable for ML modeling. Named entity recognition and POS tagging will be covered. You will also learn how to compare documents. Additionally, you will learn how to predict movie reviews as well as create Ted Talk recommendations. Learn how to extract key features from any text, and how to solve the most challenging problems in data science.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

Supervised Learning with scikit-learn

Introduction to Natural Language Processing in Python

What You Will Learn

Learn techniques to extract useful information from text and process them into a format suitable for machine learning

In the process, you will predict the sentiment of movie reviews and build movie and Ted Talk recommenders

Following the course, you will be able to engineer critical features out of any text and solve some of the most challenging problems in data science!

Course Instructors

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Rounak Banik

Data Scientist at Fractal Analytics

Rounak is a Young India Fellow and the author of the book, Hands-on Recommendation Systems with Python. He currently works as a Data Science Fellow with the QuantumBlack division of McKinsey and Comp...

Course Reviews

Average Rating Based on 3 reviews

5.0

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