Machine Pedagogy – Classification and Statistical Analysis of Educational Data

Machine Learning is the science to train the computer systems learning from the past experiences in the form of Data. Machine Learning and Artificial Intelligence can have significant impact in our Education System . This paper discusses how classification Machine learning algorithms paves the way for building a Machine Learning Model for further enhancing the interaction between teachers and students. Statistical test Pearson Bivariate Correlation , Linear Regression helped in further predictions in making Learning Model . The model prediction have been compared on the basis of performance measures Mean absolute error , Mean Squared error , Gradient Descent. Keywords— Classification , Regression , Information and Communication Technology , Train set , Test Set , Probablity. Nomenclature ICT Information and Communication Technology ML Machine Learning MAP Maximum Probability