Predictive Data Analytics - SaS
A report analysing key attributes for happiness across 149 countries to recommend actionable decisions and strategies.
Tools: SAS Miner Workstation, Microsoft Excel, Microsoft Power-Bi, SAS Enterprise Guide
Methodology included:
Data Cleaning & Imputation
Data integration with external data
Visualisation analysis
Correlation Analysis
Cluster Analysis
Predictive models (logistic regression, generalised linear model, ORBFUN, ORBFEQ & MLP)
Mean Squared Prediction Error and Average Mean Squared Error for predictive model comparison
Analytical Plan
