Job category:Artificial Intelligence
1,171 learners

Introduction to TF-IDF Vectorization in Python

Venture into the world of text vectorization with a focus on TF-IDF (Term Frequency-Inverse Document Frequency) in Python. Through this course, you'll learn how to convert text into numerical features that machine learning models can work with. Using the SMS Spam Collection dataset, you will understand how to apply TF-IDF to prepare text data for predictive modeling.
Pandas
Python
Scikit-learn
4 lessons
19 practices
2 hours
Badge for Feature Engineering and Text Representation,

Course details

Transforming Text into Insights: An Introduction to TF-IDF Vectorization in Python
Running TF-IDF Vectorization
Debugging TF-IDF Vectorization
Transforming Messages to TF-IDF vectors
Implementing Complete TF-IDF Vectorization Pipeline

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