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Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...

Machine Learning is one of those things that is chock full of hype and confusion terminology. In this StatQuest, we cut through all ...

One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...

Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...

Support Vector Machines are one of the most mysterious methods in Machine Learning. This StatQuest sweeps away the mystery ...

The concepts behind linear regression, fitting a line to data with least squares and R-squared, are pretty darn simple, so let's get ...

Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood.

One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide ...

Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in ...

The main ideas behind PCA are actually super simple and that means it's easy to interpret a PCA plot: Samples that are correlated ...

Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool. In this StatQuest, I go ...