Artificial intelligence (AI) gaining importance for the past ten years, machine learning is the branch of AI that predicts future values based on historical values. There is a need of filling the gap between academics and industry in the field of machine learning. To implement the machine learning applications, there's a need to understand the basic steps employed namely data collection, pre-processing, feature extraction, and classification. For classification purposes we are having supervised, unsupervised, artificial neural network and deep learning models.