Machine Learning Approach By Applying Logistic Regression Model Using R-Programming For Predictive Financial Analytics

Abstract

Machine learning is an important aspect of artificial intelligence which emphasize on design of
algorithm. The algorithms are design to act for pattern recognition which ultimately helps in decision
making. The algorithms makes complex and costly manual process into a easy manageable predictive
modeling. Here we have develop a predictive modeling algorithms by using r-programming for financial
analytics. The method applied includes supervised learning approach. The supervised learning is applied
by way of logistic regression model. The independent variable includes financials ratios and dependent
variable is Return on investment which is binary. The model will be useful for predicting Return on
investment.