PYTHON PROGRAMMING TASK. PLEASE DONT:USE ANY EXTERNAL LIBRARIES. DO NOT USE SKLEARN. ONLY use math lib and csv as libraries. WRITE NAIVES BAYES CLASSIFIER FROM SCRATCH:

LL F G hot B C D E 1 Outlook Temperat Humidity Windy Play 2 sunny hot high FALSE no 3 sunny high TRUE no 4 overcast hot high FALSE yes 5 rainy mild high FALSE yes 6 rainy cool normal FALSE yes 7 rainy cool normal TRUE no 8 overcast cool normal TRUE yes 9 sunny mild high FALSE no 10 sunny cool normal FALSE yes 11 rainy mild normal FALSE yes 12 sunny mild normal TRUE yes 13 overcast mild high TRUE yes 14 overcast hot normal FALSE yes 15 rainy high TRUE no 16 mild 17 18 19 Lab 11: Naive Bayes Classification Lab Instructions: Naive Bayes Classification Primer You're not allowed to use external libraries for this lab. This is an individual Lab assignment. Each student must submit their own work. Tasks: Apply Naive Bayes Classification on the attached dataset_sunny.csv and determine the probability of Play given a certain feature vector. What is the probability of playing golf given a feature vector You should implement at least one function called a classifier that takes in a feature vector as a list and outputs a tuple with probability for a yes and a no i.e. classifier( ["sunny, hot, high, False]) => (0.67, 0.33)