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Pluralsight

Text Classification for Categorizing Data Records

via Pluralsight

Overview

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This course will teach you
the essential techniques to categorize data records efficiently using
cutting-edge NLP techniques.

Unlock the secrets of text classification. In this course, Text Classification for Categorizing Data Records, you’ll gain the ability to categorize text data efficiently. First, you’ll explore text preprocessing and vectorization, laying the foundation for effective classification. Next, you’ll discover various classification models, from Naive Bayes to neural networks, and understand their unique strengths. Finally, you’ll learn how to implement multi-class and multi-label classification, equipping you to handle complex categorization tasks. When you’re finished with this course, you’ll have the skills and knowledge of text classification for practical data categorization needed to enhance your text analysis and machine learning skills.

Syllabus

  • Course Overview 1min
  • Foundations of Text Classification and Preprocessing Techniques 37mins
  • Modeling, Evaluation, and Advanced Classification Techniques 30mins

Taught by

Mohamed Echout

Reviews

3.6 rating at Pluralsight based on 12 ratings

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