Naive Bayes
Data Science · Further Education · Machine Learning Algorithms
This unit introduces the Naive Bayes algorithm, a powerful tool for predicting values based on Bayes' theorem. Students will learn the concepts, applications, and implementation of Naive Bayes in various real-world scenarios.
Zum Üben gibt es 56 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Naive Bayes
- Bayes' Theorem and Conditional Probability
- Feature Independence Assumption
- Naive Bayes Classifier
- Applications of Naive Bayes
- Evaluation of Naive Bayes Models
- Comparison with Other Classification Algorithms
Stichworte
- Bayes' Theorem
- Conditional Probability
- Feature Independence
- Classification
- Prediction
- Supervised Learning
- Data Science