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Natural Language Processing

491 learners

Text Data Preprocessing in Python

Learn to clean and prepare textual data for machine learning models using Python. This course teaches you to apply basic preprocessing tasks such as text lowercasing, removing stopwords, tokenization, and stemming on the SMS Spam Collection dataset. By the end of this course, you’ll have the skills to transform raw text into a format that's ready for NLP tasks.

Pandas

Python

See path

5 lessons

21 practices

3 hours

Text Data Collection and Preparation

Course details

Lowercasing Text for Uniformity in NLP

Preview

Introduction to Lowercase Text Conversion

Lowercasing Spam Dataset Messages

Transforming Text to Lowercase for Data Uniformity

Mastering Text Lowercasing in Python

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Next Course: Introduction to TF-IDF Vectorization in Python

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