Progress from preprocessing text data to building predictive models with this practical course. You'll learn how to leverage machine learning algorithms, such as Naive Bayes and logistic regression, to classify text into categories. Using the preprocessed SMS Spam Collection dataset, the course guides you through training classifiers, making predictions, and evaluating their performance.
Overview
Syllabus
- Lesson 1: Training a Naive Bayes Classifier for Text Categorization
- Lesson 2: Classifying Text with Logistic Regression in Python
- Lesson 3: Mastering Cross-Validation for Text Classification in Python
- Lesson 4: Fine-Tuning Text Classification Models with Grid Search in Python
- Lesson 5: Deciphering Model Accuracy with the Confusion Matrix in NLP
