Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Master Natural Language with Python and NLP using Spam Filter detection
Natural Language Processing or NLP is a very popular field and has lots of applications in our daily life. From typing a message to auto-classification of mails as Spam or not-spam NLP is everywhere.
NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language. In this course we study about NLP and use the NLP toolkit or NLTK in Python.
The course contains following:
Introduction to NLP and NLTK
NLP Pipeline
Reading raw data
Cleaning and Pre-processing
Tokenization
Vectorization
Feature Engineering
Training ML Algorithm for Classifying Spam and non-spam messages
This course would be very useful for Applied Machine Learning Scientists and Data Scientists who are working on NLP/NLU.
Course Content
- 5 section(s)
- 26 lecture(s)
- Section 1 Introduction
- Section 2 Reading and Cleaning Data
- Section 3 Vectorizing Data
- Section 4 Feature Engineering
- Section 5 Building Machine Learning Classifier
What You’ll Learn
- Natural Language Processing using Python
Skills covered in this course
Reviews
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RRavikumar S Gampala
Instructor needs to spell the words clearly and completely (slow down a bit). Otherwise, very well organized and instructed course.
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VVISHAL KHANNA KADABOINA
reaching my expectations
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AAsh masadeh
too simple and lots of repetitions so far .. i hope we will learn something deep
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JJohn May
Very organized - easy to follow. I understood the material