Applications of Naive bayes

Hand, Robot, Human, Machine, Face, Woman, Board, Binary

1. Consider the following dataset:

Apply Naïve Bayes classifier for predicting the feature, “Inflated”. Calculate the training set error.

solution:

Example problem on simple linear regression

1. Consider the following farmer dataset. Number of pounds per acre (in hundreds) Bushels per acre X y 1.0 25 2.5 32 3.0 35 3.0 32 ...

IMPLEMENTATION OF KNN CLASSIFIER

1. Predict the food type for tomato (A = 6 B = 4) with k=2 using the below the training data set. Ingredient A B Food Type Grape 8 5 Fruit Beans 3 7 ...

KNN CLASSIFIER

DA2 ML VITOL PART3 A B C D Output Some High False French Yes Full Low False Thai No S...

Sacred Ratio

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