ML LAB
Fourth Year (SEM-8)
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Programs Set
1. To study and implement the concept of simple linear regression on real data.
2. Implement simple logic network using MP neuron model.
3. Implement a simple linear regressor with a single neuron model.
4. Implement and test multi-layer Perceptron trained with back-propagation algorithm.
5. Implement and test principal Component Analysis for dimensionality reduction.
6. Implement SVM classifier for classification of data into two classes. (iris flower dataset)
7. Implement and test Multiclass SVM classifier.
8. Implement K-means clustering algorithm.
9. Implement and test Convolutional Neural Network for object recognition.
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