KANIMOZHIK

  UNIT IV Model Development: Simple and Multiple Regression – Model Evaluation using Visualization – Residual Plot –Distribution Plot – Polynomial Regression and Pipelines – Measures for In-sampleEvaluation – Prediction and Decision Making. MODEL DEVELOPMENT Model development is the process of creating a mathematical model that describes the relationship between input variables (features) and an output variable (target) . In data science, regression models are commonly used when the target variable is continuous . REGRESSION Regression is a statistical and data science method used to understand and predict the relationship between variables . Simple Definition Regression means finding a relationship between a dependent variable (output) and one or more independent variables (inputs) so we can predict values or analyze how changes in inputs affect the output . Example If you want to predict exam scores based on hours studied : Hours studied → i...