Naive Bayes Classifiers (Two Classes)

Steps followed to create a Naive Bayes classifier (binary) in this notebook:

 

1. Create a dataset to be used

2. Convert feature variable dataset to encoded labels

3. Convert target variables to encoded labels

4. Choose algorithm

5. Train model

6. Get Prediction

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You can download the notebook version here:

 

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Below you can find the overview of the tutorials.

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