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

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

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

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

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

In this StatQuest we talk about Sensitivity and Specificity - to key concepts for evaluating Machine Learning methods. These make ...

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 ...

ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ...

All Machine Learning algorithms intuitively explained in 17 min ######################################### I just started ...

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

Machine learning and Data Mining sure sound like complicated things, but that isn't always the case. Here we talk about the ...

K-means clustering is used in all kinds of situations and it's crazy simple. The R code is on the StatQuest GitHub: ...

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

LDA is surprisingly simple and anyone can understand it. Here I avoid the complex linear algebra and use illustrations to show ...

NOTE: This video was originally made as a follow up to an overview of Maximum Likelihood https://youtu.be/XepXtl9YKwc .

One of the coolest things that Neural Networks can do is classify images, and this is often done with a type of Neural Network ...

When most people want to learn about Naive Bayes, they want to learn about the Multinomial Naive Bayes Classifier - which ...

The Chain Rule is a method for finding complex derivatives and is used all the time in Statistics and Machine Learning. This video ...

Fitting a line to data is actually pretty straightforward. For a complete index of all the StatQuest videos, check out: ...