How to stop Overfitting your ML and Deep Learning models

Overfitting in machine learning and deep learning is a common problem. This is a result of the model being too biased toward the data and not generalizing well. In this article we will go through a few common ways to mitigate overfitting. We will use some of the most common overfitting solutions which can be used for Python or R, with a full example run-through with Python and Tensorflow. The most controversial way to stop overfitting a model is to reduce its complexity.