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Machine Learning Laboratory - 20CS67L

List of Programs

  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 a decision tree classifier based on weather forecasting dataset.

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

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

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This repository is a collection of programs implemented as part of Machine Learning Laboratory course (20CS67L) at JSS Science And Technology University(SJCE).

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