Dataanalytics, Datascience, Dataforensics, Analytics, Datagovernance.
prepare your data carefully. Use cross-validation to evaluate your model. Cross-validation is a technique for evaluating the performance of your model on data that was not used to build the model. Interpret your results carefully. Nonlinear regression models can be complex, so it’s important to