Description:

This course will teach you how to build a Multi-Class Text Classification model using the Naive Bayes algorithm. You will learn the fundamentals of text classification, preprocessing text data, implementing Naive Bayes for classification, evaluating model performance, and more. By the end of this course, you'll have the skills to create a powerful text classification model for various applications.

Key Highlights:

• Learn how to build a Multi-Class Text Classification model
• Understand the Naive Bayes algorithm for text classification
• Hands-on experience in implementing the model
• Evaluate model performance for accuracy

What you will learn:

• Develop a Multi-Class Text Classification model
  Learn how to develop a model that can classify text into multiple classes using Naive Bayes.
• Preprocess text data
  Understand the importance of preprocessing text data for better model performance.
• Implement Naive Bayes algorithm
  Implement the Naive Bayes algorithm for text classification tasks.
• Evaluate model performance
  Learn how to evaluate the performance of the classification model and optimize it.