Answer to Question #215517 in Python for Hamza

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/