Using an excel dataset with variable patient$\_$id $,$district $,$ Start year $,$gender $,$Age, TB$\_$Classification, HIV$\_$Results and TBOutcome$($target variable$)$ assist to develop and demonstrate a predictive model using machine learning techniques that identifies individuals at higher risk of TB infection, using python commands, step by step from data Preparation and Exploration to model evaluation and analysis.