Churn Prediction - Incorporating GenAI
I'm an absolute beginner, trying to figure things out.
i have been tasked with a small analytics project by one of my managers, it should demonstrate the use of Analytics and AI and to suggest where AI could be incorporated into business more generally.
I work for BT Group so I'm mainly dealing with a data set in the telecommunications industry and I'm trying to build a churn prediction model. got a small data set of about 3000 entries with 13 features
mainly using python with Google collab
ive thought to do the basic steps like
-data understanding & Exploratory data analysis (some visualisation)
-data preprocessing
-train test split
-ML pipeline development
-model training
-hyperparameter tuning
-model evaluation
Could you guys suggest a better way of doing things and also, how do I include GenAI into this problem