Natural Language Processing
610 learners
Building and Evaluating Text Classifiers in Python
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.
Pandas
Python
Scikit-learn
5 lessons
20 practices
3 hours
Badge for Machine Learning Modeling for NLP,
Course details
Training a Naive Bayes Classifier for Text Categorization
Running the Naive Bayes Classifier
Adjusting Classifier Test Size
Mastering the Naive Bayes Classifier
Crafting a Naive Bayes Classifier
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