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Introduction to Modeling Techniques for Text Classification

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Overview

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This course paves the way for your journey in NLP modeling. Delve deep into the world of text classification algorithms starting with Naive Bayes, Support Vector Machines, Decision Trees, and Random Forests. But that's not all! You'll also get familiar with stratified cross-validation, a key tool for handling imbalanced classes in text data.

Syllabus

  • Lesson 1: Preprocessing Text Data: Train-Test Split and Stratified Cross-Validation
  • Lesson 2: Mastering Text Classification with Naive Bayes in Python
  • Lesson 3: Mastering Support Vector Machines for Effective Text Classification
  • Lesson 4: Decision Trees in NLP: Mastering Text Classification
  • Lesson 5: Mastering Random Forest for Text Classification
  • Lesson 6: Mastering Logistic Regression for Text Classification

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