StatQuest Machine Learning

StatQuest: Random Forests Part 1 - Building, Using and Evaluating

Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the same problems with accuracy. In this video, I walk you through the steps to build, use and evaluate a random forest. NOTE: Random Forests are made from Decision Trees, so if you don't know about those, here's the Quest ...

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StatQuest Statistics

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Deviance Residuals

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R-squared, Clearly Explained!!!

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StatQuest: Logistic Regression

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StatQuest: Principal Component Analysis (PCA), Step-by-Step

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The StatQuest Illustrated Guide To Machine Learning, Theme Song!!!

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Machine Learning Fundamentals: Sensitivity and Specificity

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StatQuest R Programming

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Linear Regression in R, Step-by-Step

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StatQuest: PCA in Python

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StatQuest: PCA in R

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StatQuest: Principal Component Analysis (PCA), Step-by-Step

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The StatQuest Illustrated Guide To Machine Learning, Theme Song!!!

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Machine Learning Fundamentals: Sensitivity and Specificity

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Decision and Classification Trees, Clearly Explained!!!

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Maximum Likelihood For the Normal Distribution, step-by-step!!!

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The StatQuest Introduction to PyTorch

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StatQuest: Random Forests in R

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StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

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StatQuest: t-SNE, Clearly Explained

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StatQuest: PCA - Practical Tips

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Logistic Regression in R, Clearly Explained!!!!

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Machine Learning Fundamentals: Bias and Variance

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Multiple Regression, Clearly Explained!!!

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Logistic Regression Details Pt1: Coefficients

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Neural Networks Pt. 4: Multiple Inputs and Outputs

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Linear Regression, Clearly Explained!!!

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Tensors for Neural Networks, Clearly Explained!!!

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A Gentle Introduction to Machine Learning

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StatQuest: K-nearest neighbors, Clearly Explained

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11:38

Using Linear Models for t tests and ANOVA, Clearly Explained!!!

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20:45

Long Short-Term Memory (LSTM), Clearly Explained

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StatQuest: Logistic Regression

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Neural Networks Part 6: Cross Entropy

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Calculating the Mean, Variance and Standard Deviation, Clearly Explai…

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StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data

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16:37

Recurrent Neural Networks (RNNs), Clearly Explained!!!

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How to Prune Regression Trees, Clearly Explained!!!

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Machine Learning Fundamentals: Cross Validation

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Reinforcement Learning with Neural Networks: Mathematical Details

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