Lab ML

 LAB EXPERIMENTS

1. Implement and demonstrate the FIND-S algorithm for finding the most specific hypothesis based on a given set of training data samples. Read the training data from a .CSV file

ML1.py

enjoysport.csv Download File

ML_Lab_Exp_Doc_1 Download File

2. For a given set of training data examples stored in a .CSV file, implement and demonstrate the Candidate-Elimination algorithm to output a description of the set of all hypotheses consistent with the training examples

ML2.py

enjoysport.csv Download File

ML_Lab_Exp_Doc_2 Download File

4. Build an Artificial Neural Network by implementing the Backpropagation algorithm and test the same using appropriate data sets.

ML4.py

ML_Lab_Exp_Doc_4 Download File

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