Machine Learning modeling is the heart and soul of our research endeavor. We are in continuous pursuit to develop cutting edge models by utilizing state of the art techniques from the wide spectrum of predictive analytics.
To mention a few from the long list we have implemented various supervised(regression and classification) and unsupervised machine learning models using Linear Regression, Logistic Regression, Decision Trees, Gradient Boosting, Random Forest, K Nearest Neighbors, XGBoost, LIME, Propensity Score Matching and others.
