Predicting Students performance beforehand can be very beneficial for educational institutions to improve their teaching quality. This paper proposes to predict students performance by considering their academic details. For classification, decision tree, Random forest, Support vector machine, Linear regression, Naive Bayes are used. This paper also focuses on the use of Artificial Neural network algorithms such as MLP and Convolutional Neural network for predicting the performance.