The application of historical data for predicting future outcomes is pivotal across various domains, encompassing revenue projections, weather forecasts, stock market trends, sports predictions, and beyond. This dependence on predictive analytics relies on extracting valuable insights from historical data, addressing diverse forecasting challenges. To predict future outcomes, a predictive model is built from historical data. Over the past few years, I’ve built dozens of predictive models using ...