This repo full of based on Machine Learning ML
##EXP NO:1 Implement and demonstrate the FIND-S algorithm for finding the most specific hypothesis based on a given set of training data samples.
##EXP NO:2 For a given set of training data examples stored in a .CSV file, implement and demonstrate the Candidate-Elimination algorithm in python to output a description of the set of all hypotheses consistent with the training examples
##EXP NO:3 Demonstrate the working of the decision tree based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample.
##EXP NO:4 Build an Artificial Neural Network by implementing the Backpropagation algorithm and test the same using appropriate data sets.
##EXP NO:5 Write a program for Implementation of K-Nearest Neighbours (K-NN) in Python.
##EXP NO:6 Write a program to implement Naïve Bayes algorithm in python and to display the results using confusion matrix and accuracy.
##EXP NO:7 Write a program to implement Logistic Regression (LR) algorithm in python.
##EXP NO:8 Write a program to implement Linear Regression (LR) algorithm in python
##EXP NO:9 Compare Linear and Polynomial Regression using Python
##EXP NO:10 Write a Python Program to Implement Expectation & Maximization Algorithm
##EXP NO: 11 Write a program for the task of Credit Score Classification.
##EXP NO: 12 Implement Iris Flower Classification using KNN.
##EXP NO: 13 Implement the Car Price Prediction Model using Python.
##EXP NO: 14 Implement House Price Prediction using appropriate machine learning algorithm.
##EXP NO: 15 Implement Iris Flower Classification using Naive Bayes classifier.
##EXP NO: 16 Compare different types of classification algorithms.
##EXP NO: 17 Implement Mobile Price Prediction using machine learning.
##EXP NO: 18 Implement Perceptron based IRIS classification.
##EXP NO: 19 Implementation of Naive Bayes classification for Bank Loan prediction.
##EXP NO: 20 Implement Future Sales Prediction using a suitable machine learning algorithm.
