How to Implement Resampling Methods From Scratch In Python - Machine Learning Mastery

The goal of predictive modeling is to create models that make good predictions on new data. We don't have access to this new data at the time of training, so we must use statistical methods to estimate the performance of a model on new data. This class of methods are called resampling methods, as they resampling your available training data. In this tutorial, you will discover how to implement resampling methods from scratch in Python. How to Implement Resampling Methods From Scratch In Python Photo by Andrew Lynch, some rights reserved.