The Naive Bayes classifier: How it works

Contents:

Introduction

1. Bayes’ theorem

2. Naïve Bayes classifier

3. A simple binary classification problem

3.1 Prior probability computation

3.2 Class conditional probability computation

3.3 Predicting posterior probability

3.4 Treating Features with continuous data

3.5 Treating incomplete datasets

4. Naïve Bayes using Scikit Learn

4.1 Handling mixed features

5. Conclusion

6. References

Introduction:

Classification algorithms try to predict the class or the label of the categorical target variable. A categorical variable typically represents qualitative data that has …

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