A lot of powerful machine learning techniques are often explained in a way that feels overly complex or academic.
So I’m breaking them down in a simple, practical way with real-world examples — starting with Linear vs Logistic Regression.
👉 Linear → “How much?”
👉 Logistic → “How likely?”
Also sharing how churn propensity models (0–9 scale) drive real business decisions.
#AI #MachineLearning #DataScience #PredictiveModeling #Analytics #ChurnPrediction #LeadScoring #AILeadership
