Job category:
Artificial Intelligence
915 learners

Feature Engineering for Text Classification

Dive deeper into the transformation of raw text data into features that machine learning models can understand. Through a practical, hands-on approach, you'll learn everything from tokenization, generating Bag-of-Words and TF-IDF representations, to handling sparse features and applying Dimensionality Reduction techniques.
NLTK
Python
Scikit-learn
5 lessons
25 practices
5 hours
Badge for Feature Engineering and Text Representation,

Course details

Tokenization: The Gateway to Text Classification
Filter Punctuation from Tokenized Review
Filtering Word Tokens from a Sentence
Completing Code for Data Loading and Tokenizing
Tokenizing and Filtering a Movie Review
Tokenizing First Review and Printing Tokens

Turn screen time into skills time

Practice anytime, anywhere with our mobile app.
Sign up

Join the 1M+ learners on CodeSignal

Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal