Advanced Regression Models in Machine Learning
An Introduction to Multivariate Adaptive Regression Splines
When the relationship between a set of predictor variables and a response variable is linear, we can often use linear regression, which assumes that...
Advanced Regression Models in Machine Learning
An Introduction to Polynomial Regression
When we have a dataset with one predictor variable and one response variable, we often use simple linear regression to quantify the relationship between the...
Machine Learning Tutorials
What is Stepwise Selection? (Explanation & Examples)
In the field of machine learning, our goal is to build a model that can effectively use a set of predictor variables to predict...
Machine Learning Tutorials
Best Subset Selection in Machine Learning (Explanation & Examples)
In the field of machine learning, we’re often interested in building models using a set of predictor variables and a response variable. Our goal...
How to Assess Model Fit in Machine Learning
What is Overfitting in Machine Learning? (Explanation & Examples)
In the field of machine learning, we often build models so that we can make accurate predictions about some phenomenon.
For example, suppose we want...
How to Assess Model Fit in Machine Learning
An Easy Guide to K-Fold Cross-Validation
To evaluate the performance of some model on a dataset, we need to measure how well the predictions made by the model match the...
Machine Learning Tutorials
Introduction to Lasso Regression
In ordinary multiple linear regression, we use a set of p predictor variables and a response variable to fit a model of the form:
Y =...
Subscribe
- Never miss a story with notifications
- Gain full access to our premium content
- Browse free from up to 5 devices at once
Must read