Question

Q2) Do work for both parts (10)
a) Write Python code for baysean learning to dataset as given in Q1 theory paper .Assume test
data=33% and Dataset contains integers values in dataset.
b) Classify following example Fast yes or no using baysean classification algorithm
Engine = Small , SC/Turbo= Yes , Weight=Light , Fuel Eco= Good

Answer 1

• Bayes' theorem allows you to update the predicted probabilities of an event by incorporating new information.
• Bayes' theorem was named after 18th-century mathematician Thomas Bayes.
• It is often employed in finance in updating risk evaluation.

$P(A \backslash B) = \dfrac{P(B \backslash A) P(A)}{P(B)}$

Here you can see the way how to write program for your question:

https://machinelearningmastery.com/naive-bayes-classifier-scratch-python/