How to scale data for Machine Learning: standardize features
We see why it is important to standardize data before using a machine learning model and we show specific examples of how…
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How to scale data for Machine Learning: standardize features
We see why it is important to standardize data before using a machine learning model and we show specific examples of how standardizing your data can improve the model’s performance. This tutorial contains simple examples that data science beginners can follow to…
A Brief Guide to Cross-Validation: What It Is and How to Use It
We start by generating a two-dimensional data base and create a regression model with it. We discuss how to validate the Machine Learning model to assess its accuracy. Finally, we show different validation and cross-validation methods, and discuss their advantages and…
Kernel Ridge Regression – Python Tutorial
We start by introducing linear regression. We show how Kernel Ridge Regression is much more flexible and can describe more complex data trends.
Finally, we describe how to optimize the model’s hyper-parameters to obtain an accurate non-linear regression.