Machine Learning

 WEEK 9 - Write a program to implement SVM algorithm to classify the iris data set. Print both correct and wrong predictions.

 WEEK 8: Write a program to implement k-Nearest Neighbors algorithm to classify the iris data set. Print both correct and wrong predictions. K-Nearest Neighbor Algorithm Training algorithm:   ·        For each training example (x, f (x)), add the example to the list training examples Classification algorithm: o    Given a query instance xq to be classified, §   Let x1 . . .xk denote the k instances from training examples that are nearest to xq §   Return Where, f(x i ) function to calculate the mean value of the k nearest training examples.   Data Set: Iris Plants Dataset: Dataset contains 150 instances (50 in each of three classes) 

WEEK 4: • Write a program to demonstrate the working of the decision tree based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample.