A holistic study of variables affecting Life Expectancy using advanced Machine Learning models.

Risk Analytics - Finance & Banking industries. Classification model to analyze the risk of the customer for loan delinquency. (Decision Tree, Hyperparameter tuning, Cost complexity pruning, Hypothe…

A model to predict whether a customer will buy a product or not. (Decision Tree, Feature Importance, Cost Complexity Pruning, GridSearchCV hyperparameter tuning

Income group classification - Logistic Regression, AUC-ROC curve, confusion matrix

Credit Defaulter prediction model - Logistic Regression, Confusion Matrix.

Unsupervised clustering technique - K-Means & Hierarchical clustering to identify different segments in the existing customer based on their spending patterns as well as past interaction with the b…

Supervised Machine Learning : Hyperparamter tuning, GridSearchCV, RandomSearchCV

Ensemble Techniques : Bagging Classfiier, Boosting Classifiers, AdaBoost, Gradient Boosting, XGBoost, Stacking, Hyperparamter tuning

Supervised Learning project : Linear Regression model, Linear Reg Assumptions, model performance evaluation

Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve

This project used Statistical Analysis and Visualization to leverage customer's health information like smoking habits, BMI, age, gender, etc., and checked statistical evidences to make valuable de…

Exploratory Data Analysis using python.