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Showing posts with the label Find S

Machine Learning Programs

 Machine Learning Programs πŸ‘‰ Data Preprocessing in Machine Learning πŸ‘‰ Data Preprocessing in Machine learning (Handling Missing values ) πŸ‘‰ Linear Regression - ML Program - Weight Prediction πŸ‘‰ NaΓ―ve Bayes Classifier - ML Program πŸ‘‰ LOGISTIC REGRESSION - PROGRAM πŸ‘‰ KNN Machine Learning Program πŸ‘‰ Support Vector Machine (SVM) - ML Program πŸ‘‰ Decision Tree Classifier on Iris Dataset πŸ‘‰ Classification of Iris flowers using Random Forest πŸ‘‰ DBSCAN πŸ‘‰ 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 πŸ‘‰ 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. πŸ‘‰ 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