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Example on Application of decision trees

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1. Analyze the below dataset and fill the missing values by applying appropriate values. Original Filled with mean                                                            

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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 Some

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 3.4