We perform Data Collection,
Data Preparation & Cleaning which included EDA,
Missing Value Imputation, Outlier Detection & Multi-Collinearity Check,
Data mining to identify patterns, anomalies,
Creation of Interaction Variables and Transformation of Variables,
Logistic Regression,
Data Visualization using charts, graphs and scatterplots,
Statistics based Predictive Modelling,
Testing and Model Validation to determine overall effectiveness of the Model.