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Probable programs for Machine Learning Lab Finals (20CS67L)

1 Visualize the n-dimensional data using 3D surface plots. Write a program to implement the Best First Search (BFS) algorithm.

2 Visualize the n-dimensional data using contour plots. Write a program to implement the A* algorithm

3 Visualize the n-dimensional data using heat-map. Write a program to implement Min-Max algorithm.

4 Visualize the n-dimensional data using Box-plot. Write a program to implement Alpha-beta pruning algorithm.

5 Write a program to develop the Naive Bayes classifier on Titanic dataset.

6 Write a program to develop the KNN classifier with Euclidean distance and Manhattan distance for the k values as 3 based on split up of training and testing dataset as 70-30 on Glass dataset.

7 Write a program to develop a decision tree classifier based on weather forecasting dataset.

8 Write a program to perform unsupervised K-means clustering techniques on Iris dataset.

9 Write a program to perform agglomerative clustering based on single-linkage, complete-linkage criteria.

10 Write a program to develop Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithms.

11 Write a Program to develop simple single layer perceptron to implement AND, OR Boolean functions.

12 Write a program to develop Multi-layer perceptron to implement AND-NOT, XOR Boolean functions.