This report, submitted for the CIS8008 assessment, begins with an analysis of Telstra Corporation Ltd., focusing on its privacy and security policies aligned with the Australian Data Governance Draft Code of Practice. It details Telstra's adherence to principles like No Harm, Honesty, Fairness, and Accountability. The report then transitions to an Exploratory Data Analysis (EDA) of diabetes data using RapidMiner Studio. This EDA involves importing data, generating summary statistics, and identifying key variables for diabetes prediction, including age, blood pressure, glucose levels, BMI, and insulin levels. The analysis employs scatter diagrams and correlation studies. The report also covers machine learning models using decision trees and logistic regression. Performance evaluations are included in the appendix. The report aims to provide insights into data analysis and machine learning techniques applied to real-world datasets.
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