ABSTRACT
Artificial Intelligence (AI) is the intelligence demonstrated by machines, in comparison to the usual intelligence demonstrated by human beings and animals. Machine learning (ML), which is a primary concept of AI research from its inception, is a branch that involves algorithms that improve themselves automatically through learning and exp. There are three types of ML algorithms based on broad classification. They are Supervised Learning, Unsupervised Learning and Reinforcement Learning. In Semi-Supervised Learning model, Input data may or may not have targets. The model must learn the organization and structure of the data to make predictions and it is similar to a prediction problem. Regression is the process of estimating the association among variables that are iteratively developed with reference to error calculations prevalent in the model. In instance-based learning method, the predictors that are considered to be significant or mandatory to the model for decision making are taken into account.
