StatQuest with Josh Starmer

Statistics, Machine Learning, Data Science, and AI seem like very scary topics, but since each technique is really just a ...

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StatQuest with Josh Starmer

StatQuest: Logistic Regression

8 years ago - 8:48

StatQuest with Josh Starmer

p-values: What they are and how to interpret them

6 years ago - 11:21

StatQuest with Josh Starmer

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

8 years ago - 21:58

StatQuest with Josh Starmer

StatQuest: K-means clustering

8 years ago - 8:31

StatQuest with Josh Starmer

The Essential Main Ideas of Neural Networks

5 years ago - 18:54

StatQuest with Josh Starmer

XGBoost Part 1 (of 4): Regression

6 years ago - 25:46

StatQuest with Josh Starmer

In Statistics, Probability is not Likelihood.

8 years ago - 5:01

StatQuest with Josh Starmer

ROC and AUC, Clearly Explained!

6 years ago - 16:17

StatQuest with Josh Starmer

Three (3) things to do when starting out in Data Science

5 years ago - 11:10

StatQuest with Josh Starmer

The Main Ideas behind Probability Distributions

9 years ago - 5:15

StatQuest with Josh Starmer

Confidence Intervals, Clearly Explained!!!

10 years ago - 6:42

StatQuest with Josh Starmer

Machine Learning Fundamentals: Bias and Variance

7 years ago - 6:36

StatQuest with Josh Starmer

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

8 years ago - 9:54

StatQuest with Josh Starmer

Gradient Descent, Step-by-Step

7 years ago - 23:54

StatQuest with Josh Starmer

Gradient Boost Part 1 (of 4): Regression Main Ideas

7 years ago - 15:52

StatQuest with Josh Starmer

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

3 years ago - 11:38

StatQuest with Josh Starmer

Clustering with DBSCAN, Clearly Explained!!!

4 years ago - 9:30

StatQuest with Josh Starmer

R-squared, Clearly Explained!!!

11 years ago - 11:01

StatQuest with Josh Starmer

StatQuest: PCA main ideas in only 5 minutes!!!

8 years ago - 6:05

StatQuest with Josh Starmer

Regularization Part 1: Ridge (L2) Regression

7 years ago - 20:27

StatQuest with Josh Starmer

Neural Networks Pt. 2: Backpropagation Main Ideas

5 years ago - 17:34

StatQuest with Josh Starmer

How AI works in Super Simple Terms!!!

4 months ago - 22:51

StatQuest with Josh Starmer

Bootstrapping Main Ideas!!!

4 years ago - 9:27

StatQuest with Josh Starmer

Decision and Classification Trees, Clearly Explained!!!

5 years ago - 18:08

StatQuest with Josh Starmer

StatQuest: Histograms, Clearly Explained

8 years ago - 3:42

StatQuest with Josh Starmer

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

3 years ago - 16:37

StatQuest with Josh Starmer

The Essence of Linear Regression

3 weeks ago - 32:01

StatQuest with Josh Starmer

A Gentle Introduction to Machine Learning

7 years ago - 12:45

StatQuest with Josh Starmer

How to Prune Regression Trees, Clearly Explained!!!

6 years ago - 16:15

StatQuest with Josh Starmer

Sampling from a Distribution, Clearly Explained!!!

9 years ago - 3:49

StatQuest with Josh Starmer

Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!

5 years ago - 14:41

StatQuest with Josh Starmer

The standard error, Clearly Explained!!!

11 years ago - 11:44

StatQuest with Josh Starmer

StatQuest: PCA - Practical Tips

8 years ago - 8:20

StatQuest with Josh Starmer

Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

2 years ago - 36:15

StatQuest with Josh Starmer

Quantile-Quantile Plots (QQ plots), Clearly Explained!!!

8 years ago - 6:56

StatQuest with Josh Starmer

StatQuest: Random Forests Part 2: Missing data and clustering

10 hours ago - 10:48

StatQuest with Josh Starmer

A Gentle Introduction to Machine Learning

7 years ago - 12:45

StatQuest with Josh Starmer

Long Short-Term Memory (LSTM), Clearly Explained

3 years ago - 20:45

StatQuest with Josh Starmer

StatQuest: Hierarchical Clustering

8 years ago - 11:19

StatQuest with Josh Starmer

Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!

5 years ago - 14:41

StatQuest with Josh Starmer

Statistical Power, Clearly Explained!!!

6 years ago - 8:19

StatQuest with Josh Starmer

Lowess and Loess, Clearly Explained!!!

9 years ago - 10:10

StatQuest with Josh Starmer

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

7 years ago - 19:50

StatQuest with Josh Starmer

Gradient Descent, Step-by-Step

7 years ago - 23:54

StatQuest with Josh Starmer

Reinforcement Learning: Essential Concepts

1 year ago - 18:13

StatQuest with Josh Starmer

The matrix math behind transformer neural networks, one step at a time!!!

2 years ago - 23:43

StatQuest with Josh Starmer

Support Vector Machines Part 1 (of 3): Main Ideas!!!

6 years ago - 20:32

StatQuest with Josh Starmer

Logistic Regression Details Pt1: Coefficients

8 years ago - 19:02

StatQuest with Josh Starmer

Expected Values, Main Ideas!!!

5 years ago - 13:39

StatQuest with Josh Starmer

How to calculate p-values

6 years ago - 25:15

StatQuest with Josh Starmer

Machine Learning Fundamentals: Cross Validation

8 years ago - 6:05

StatQuest with Josh Starmer

Attention for Neural Networks, Clearly Explained!!!

3 years ago - 15:51

freeCodeCamp.org

Statistics - A Full University Course on Data Science Basics

6 years ago - 8:15:04

StatQuest with Josh Starmer

Gradient Boost Part 3 (of 4): Classification

7 years ago - 17:03

StatQuest with Josh Starmer

Alternative Hypotheses: Main Ideas!!!

5 years ago - 9:50

StatQuest with Josh Starmer

Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

5 years ago - 15:24

StatQuest with Josh Starmer

False Discovery Rates, FDR, clearly explained

9 years ago - 18:27