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Natural Language Processing (NLP) with Python and NLTK
Master Natural Language with Python and NLP using Spam Filter detection
Created by Abhishek Kumar, offered on Udemy
To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 1143 students which left 33 reviews at an average rating of 4.4, which is average.
We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 3 hours 33 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.
This course currently has a bestcourses score of 5.1/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.
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
Reading raw data
Cleaning and Pre-processing
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.
What you will learn
- Natural Language Processing using Python
- Basic programming skills in Python. Familiarity with numPy, Pandas and matplotlib would be helpful but not required.