Question: question 4 Q # 4: (Marks 10) (a) What is machine learning, briefly describe each type of it. (b) Using the given dataset containing four

question 4

question 4 Q # 4: (Marks 10) (a) What is machine learning,

Q # 4: (Marks 10) (a) What is machine learning, briefly describe each type of it. (b) Using the given dataset containing four attributes and One class, Outlook Temp Humidity Windy Play Golf Rainy Hot High False No Rainy Hot High True No Overcast Hot High False Yes Sunny Mild High False Yes Sunny Cool Normal False Yes Sunny Cool Normal True No Overcast Cool Normal True Yes Rainy Mild High False No Rainy Cool Normal False Yes Sunny Mild Normal False Yes Rainy Mild Normal True Yes Overcast Mild High True Yes Overcast Hot Normal False Yes Sunny Mild High True No use the Naive Bayes classifier to determine the class (PLAY Golf = Yes or No) for Outlook = Sunny, Temp = Hot, Humidity = Normal and Windy = True. Outlook = Rainy, Temp = Hot, Humidity = High and Windy = True

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