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Text Classification for Categorizing Data Records

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Duration

1h 9m

level

Beginner

Course Creator

Mohamed Echout

Last Updated

07-Feb-24

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

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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.
Author Name: Mohamed Echout
Author Description:
Mo is a tech educator and solutions provider who has helped some of the biggest brands to make technology engaging and relevant. With a passion for breaking down complex concepts, he delivers training and AI solutions that drive real results. Making tech practical is his mission!

Table of Contents

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

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Text Classification for Categorizing Data Records
Text Classification for Categorizing Data Records
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