StatQuest with Josh Starmer

StatQuest with Josh Starmer

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

@statquest subscribers

StatQuest: Logistic Regression

StatQuest with Josh Starmer

StatQuest: Logistic Regression

8 years ago - 8:48

Linear Regression, Clearly Explained!!!

StatQuest with Josh Starmer

Linear Regression, Clearly Explained!!!

3 years ago - 27:27

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

StatQuest with Josh Starmer

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

8 years ago - 21:58

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

StatQuest with Josh Starmer

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

8 years ago - 9:54

In Statistics, Probability is not Likelihood.

StatQuest with Josh Starmer

In Statistics, Probability is not Likelihood.

8 years ago - 5:01

StatQuest: K-means clustering

StatQuest with Josh Starmer

StatQuest: K-means clustering

8 years ago - 8:30

ROC and AUC, Clearly Explained!

StatQuest with Josh Starmer

ROC and AUC, Clearly Explained!

7 years ago - 16:17

XGBoost Part 1 (of 4): Regression

StatQuest with Josh Starmer

XGBoost Part 1 (of 4): Regression

6 years ago - 25:46

The StatQuest Introduction to PyTorch

StatQuest with Josh Starmer

The StatQuest Introduction to PyTorch

4 years ago - 23:22

R-squared, Clearly Explained!!!

StatQuest with Josh Starmer

R-squared, Clearly Explained!!!

11 years ago - 11:01

Statistical Power, Clearly Explained!!!

StatQuest with Josh Starmer

Statistical Power, Clearly Explained!!!

6 years ago - 8:19

Logistic Regression Details Pt1: Coefficients

StatQuest with Josh Starmer

Logistic Regression Details Pt1: Coefficients

8 years ago - 19:02

StatQuest: t-SNE, Clearly Explained

StatQuest with Josh Starmer

StatQuest: t-SNE, Clearly Explained

8 years ago - 11:48

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

StatQuest with Josh Starmer

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

6 years ago - 11:21

Bootstrapping Main Ideas!!!

StatQuest with Josh Starmer

Bootstrapping Main Ideas!!!

5 years ago - 9:27

A Gentle Introduction to Machine Learning

StatQuest with Josh Starmer

A Gentle Introduction to Machine Learning

7 years ago - 12:45

Long Short-Term Memory (LSTM), Clearly Explained

StatQuest with Josh Starmer

Long Short-Term Memory (LSTM), Clearly Explained

3 years ago - 20:45

StatQuest: Random Forests Part 2: Missing data and clustering

StatQuest with Josh Starmer

StatQuest: Random Forests Part 2: Missing data and clustering

1 month ago - 10:48

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

StatQuest with Josh Starmer

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

6 years ago - 14:41

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

StatQuest with Josh Starmer

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

6 years ago - 20:32

StatQuest: A gentle introduction to RNA-seq

StatQuest with Josh Starmer

StatQuest: A gentle introduction to RNA-seq

8 years ago - 18:26

Regularization Part 1: Ridge (L2) Regression

StatQuest with Josh Starmer

Regularization Part 1: Ridge (L2) Regression

7 years ago - 20:27

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

StatQuest with Josh Starmer

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

8 years ago - 5:16

The Main Ideas behind Probability Distributions

StatQuest with Josh Starmer

The Main Ideas behind Probability Distributions

9 years ago - 5:15

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

StatQuest with Josh Starmer

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

7 years ago - 15:52

Neural Networks Pt. 2: Backpropagation Main Ideas

StatQuest with Josh Starmer

Neural Networks Pt. 2: Backpropagation Main Ideas

5 years ago - 17:34

Machine Learning Fundamentals: Bias and Variance

StatQuest with Josh Starmer

Machine Learning Fundamentals: Bias and Variance

7 years ago - 6:36

Gradient Descent, Step-by-Step

StatQuest with Josh Starmer

Gradient Descent, Step-by-Step

7 years ago - 23:54

Reinforcement Learning: Essential Concepts

StatQuest with Josh Starmer

Reinforcement Learning: Essential Concepts

1 year ago - 18:13

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

StatQuest with Josh Starmer

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

4 years ago - 16:37

Machine Learning Fundamentals: Cross Validation

StatQuest with Josh Starmer

Machine Learning Fundamentals: Cross Validation

8 years ago - 6:05

StatQuest: K-nearest neighbors, Clearly Explained

StatQuest with Josh Starmer

StatQuest: K-nearest neighbors, Clearly Explained

9 years ago - 5:30

How to calculate p-values

StatQuest with Josh Starmer

How to calculate p-values

6 years ago - 25:15

The Central Limit Theorem, Clearly Explained!!!

StatQuest with Josh Starmer

The Central Limit Theorem, Clearly Explained!!!

7 years ago - 7:35

How AI works in Super Simple Terms!!!

StatQuest with Josh Starmer

How AI works in Super Simple Terms!!!

6 months ago - 22:51

Sampling from a Distribution, Clearly Explained!!!

StatQuest with Josh Starmer

Sampling from a Distribution, Clearly Explained!!!

9 years ago - 3:49

The Essence of Linear Regression!!!

StatQuest with Josh Starmer

The Essence of Linear Regression!!!

2 months ago - 32:01

AdaBoost, Clearly Explained

StatQuest with Josh Starmer

AdaBoost, Clearly Explained

7 years ago - 20:54

Odds and Log(Odds), Clearly Explained!!!

StatQuest with Josh Starmer

Odds and Log(Odds), Clearly Explained!!!

8 years ago - 11:31

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

StatQuest with Josh Starmer

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

5 years ago - 15:24

Clustering with DBSCAN, Clearly Explained!!!

StatQuest with Josh Starmer

Clustering with DBSCAN, Clearly Explained!!!

4 years ago - 9:30

Bayes' Theorem, Clearly Explained!!!!

StatQuest with Josh Starmer

Bayes' Theorem, Clearly Explained!!!!

4 years ago - 14:00

Gradient Descent, Step-by-Step

StatQuest with Josh Starmer

Gradient Descent, Step-by-Step

7 years ago - 23:54

Power Analysis, Clearly Explained!!!

StatQuest with Josh Starmer

Power Analysis, Clearly Explained!!!

6 years ago - 16:45

Quantiles and Percentiles, Clearly Explained!!!

StatQuest with Josh Starmer

Quantiles and Percentiles, Clearly Explained!!!

8 years ago - 6:30

Expected Values, Main Ideas!!!

StatQuest with Josh Starmer

Expected Values, Main Ideas!!!

5 years ago - 13:39

The Binomial Distribution and Test, Clearly Explained!!!

StatQuest with Josh Starmer

The Binomial Distribution and Test, Clearly Explained!!!

8 years ago - 15:47

Entropy (for data science) Clearly Explained!!!

StatQuest with Josh Starmer

Entropy (for data science) Clearly Explained!!!

4 years ago - 16:35

Word Embedding and Word2Vec, Clearly Explained!!!

StatQuest with Josh Starmer

Word Embedding and Word2Vec, Clearly Explained!!!

3 years ago - 16:12

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

StatQuest with Josh Starmer

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

6 years ago - 20:32

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

StatQuest with Josh Starmer

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

4 years ago - 0:15

Naive Bayes, Clearly Explained!!!

StatQuest with Josh Starmer

Naive Bayes, Clearly Explained!!!

6 years ago - 15:12

The Chain Rule, Clearly Explained!!!

StatQuest with Josh Starmer

The Chain Rule, Clearly Explained!!!

6 years ago - 18:24

The Normal Distribution, Clearly Explained!!!

StatQuest with Josh Starmer

The Normal Distribution, Clearly Explained!!!

8 years ago - 5:13

StatQuest: Random Forests Part 2: Missing data and clustering

StatQuest with Josh Starmer

StatQuest: Random Forests Part 2: Missing data and clustering

1 month ago - 10:48

Pearson's Correlation, Clearly Explained!!!

StatQuest with Josh Starmer

Pearson's Correlation, Clearly Explained!!!

7 years ago - 19:13

Neural Networks Part 6: Cross Entropy

StatQuest with Josh Starmer

Neural Networks Part 6: Cross Entropy

5 years ago - 9:31

Attention for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer

Attention for Neural Networks, Clearly Explained!!!

3 years ago - 15:51

Tensors for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer

Tensors for Neural Networks, Clearly Explained!!!

4 years ago - 9:40

Regularization Part 2: Lasso (L1) Regression

StatQuest with Josh Starmer

Regularization Part 2: Lasso (L1) Regression

7 years ago - 8:19

Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

StatQuest with Josh Starmer

Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

2 years ago - 36:45

💜StarQuest THE MOVIE!

Katherine Elizabeth

💜StarQuest THE MOVIE!

3 years ago - 4:36:45

Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!

StatQuest with Josh Starmer

Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!

7 years ago - 14:22

Covariance, Clearly Explained!!!

StatQuest with Josh Starmer

Covariance, Clearly Explained!!!

7 years ago - 22:23

p-hacking: What it is and how to avoid it!

StatQuest with Josh Starmer

p-hacking: What it is and how to avoid it!

6 years ago - 13:45

Machine Learning Fundamentals: The Confusion Matrix

StatQuest with Josh Starmer

Machine Learning Fundamentals: The Confusion Matrix

7 years ago - 7:13

Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)

StatQuest with Josh Starmer

Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)

6 years ago - 7:15

The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)

StatQuest with Josh Starmer

The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)

9 years ago - 9:22

The Simplex Algorithm, Mathematical Details!!!

StatQuest with Josh Starmer

The Simplex Algorithm, Mathematical Details!!!

3 weeks ago - 26:38

Maximum Likelihood, clearly explained!!!

StatQuest with Josh Starmer

Maximum Likelihood, clearly explained!!!

9 years ago - 6:12

StatQuest: Career Advice from Tech Industry Leaders

StatQuest with Josh Starmer

StatQuest: Career Advice from Tech Industry Leaders

11 months ago - 5:59

Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer

Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!

3 years ago - 16:50

Neural Networks Pt. 3: ReLU In Action!!!

StatQuest with Josh Starmer

Neural Networks Pt. 3: ReLU In Action!!!

5 years ago - 8:58

Odds Ratios and Log(Odds Ratios), Clearly Explained!!!

StatQuest with Josh Starmer

Odds Ratios and Log(Odds Ratios), Clearly Explained!!!

8 years ago - 16:20

Mutual Information, Clearly Explained!!!

StatQuest with Josh Starmer

Mutual Information, Clearly Explained!!!

3 years ago - 16:14

Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!

StatQuest with Josh Starmer

Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!

1 month ago - 24:02

Regression Trees, Clearly Explained!!!

StatQuest with Josh Starmer

Regression Trees, Clearly Explained!!!

6 years ago - 22:33

Quantile Normalization, Clearly Explained!!!

StatQuest with Josh Starmer

Quantile Normalization, Clearly Explained!!!

8 years ago - 4:52

XGBoost Part 2 (of 4): Classification

StatQuest with Josh Starmer

XGBoost Part 2 (of 4): Classification

6 years ago - 25:18

Live 2020-02-03!!! Statistical Models, Regularization, Best ML Algorithm.

StatQuest with Josh Starmer

Live 2020-02-03!!! Statistical Models, Regularization, Best ML Algorithm.

Streamed 6 years ago - 30:35

R-squared, Clearly Explained!!!

StatQuest with Josh Starmer

R-squared, Clearly Explained!!!

3 years ago - 11:01

False Discovery Rates, FDR, clearly explained

StatQuest with Josh Starmer

False Discovery Rates, FDR, clearly explained

1 month ago - 18:27

Machine Learning Fundamentals: Sensitivity and Specificity

StatQuest with Josh Starmer

Machine Learning Fundamentals: Sensitivity and Specificity

6 years ago - 11:47

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

StatQuest with Josh Starmer

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

9 years ago - 11:38

Stochastic Gradient Descent, Clearly Explained!!!

StatQuest with Josh Starmer

Stochastic Gradient Descent, Clearly Explained!!!

7 years ago - 10:53

Linear Regression, Clearly Explained!!!

StatQuest with Josh Starmer

Linear Regression, Clearly Explained!!!

9 years ago - 27:27

Logs (logarithms), Clearly Explained!!!

StatQuest with Josh Starmer

Logs (logarithms), Clearly Explained!!!

9 years ago - 15:37

Standard Deviation vs Standard Error, Clearly Explained!!!

StatQuest with Josh Starmer

Standard Deviation vs Standard Error, Clearly Explained!!!

9 years ago - 2:52

The Man Who Makes Statistics Fun! (Joshua Starmer AKA StatQuest) -  KNN Ep.28

Ken's Nearest Neighbors Podcast

The Man Who Makes Statistics Fun! (Joshua Starmer AKA StatQuest) - KNN Ep.28

5 years ago - 1:09:51

Why Dividing By N Underestimates the Variance

StatQuest with Josh Starmer

Why Dividing By N Underestimates the Variance

7 years ago - 17:15

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

StatQuest with Josh Starmer

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

2 years ago - 23:43

Neural Networks Part 5: ArgMax and SoftMax

StatQuest with Josh Starmer

Neural Networks Part 5: ArgMax and SoftMax

5 years ago - 14:03

StatQuest: RNA-seq - the problem with technical replicates

StatQuest with Josh Starmer

StatQuest: RNA-seq - the problem with technical replicates

10 years ago - 12:55

Regularization Part 3: Elastic Net Regression

StatQuest with Josh Starmer

Regularization Part 3: Elastic Net Regression

7 years ago - 5:19

UMAP Dimension Reduction, Main Ideas!!!

StatQuest with Josh Starmer

UMAP Dimension Reduction, Main Ideas!!!

4 years ago - 18:52

StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

StatQuest with Josh Starmer

StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

10 years ago - 15:12

Conditional Probabilities, Clearly Explained!!!

StatQuest with Josh Starmer

Conditional Probabilities, Clearly Explained!!!

5 years ago - 10:56

StatQuest: DESeq2, part 1, Library Normalization

StatQuest with Josh Starmer

StatQuest: DESeq2, part 1, Library Normalization

9 years ago - 12:42

StatQuest: edgeR and DESeq2, part 2 - Independent Filtering

StatQuest with Josh Starmer

StatQuest: edgeR and DESeq2, part 2 - Independent Filtering

9 years ago - 21:24

Gradient Boost Part 4 (of 4): Classification Details

StatQuest with Josh Starmer

Gradient Boost Part 4 (of 4): Classification Details

7 years ago - 37:00

StatQuickie: Which t test to use

StatQuest with Josh Starmer

StatQuickie: Which t test to use

9 years ago - 5:10

Population and Estimated Parameters, Clearly Explained!!!

StatQuest with Josh Starmer

Population and Estimated Parameters, Clearly Explained!!!

7 years ago - 14:31

Drawing and Interpreting Heatmaps

StatQuest with Josh Starmer

Drawing and Interpreting Heatmaps

10 years ago - 16:49

CatBoost Part 1: Ordered Target Encoding

StatQuest with Josh Starmer

CatBoost Part 1: Ordered Target Encoding

3 years ago - 8:32

Logistic Regression Details Pt 2: Maximum Likelihood

StatQuest with Josh Starmer

Logistic Regression Details Pt 2: Maximum Likelihood

8 years ago - 10:23

Bar Charts Are Better than Pie Charts

StatQuest with Josh Starmer

Bar Charts Are Better than Pie Charts

9 years ago - 1:45

XGBoost Part 4 (of 4): Crazy Cool Optimizations

StatQuest with Josh Starmer

XGBoost Part 4 (of 4): Crazy Cool Optimizations

6 years ago - 24:27

Ridge vs Lasso Regression, Visualized!!!

StatQuest with Josh Starmer

Ridge vs Lasso Regression, Visualized!!!

6 years ago - 9:06

Multiple Regression, Clearly Explained!!!

StatQuest with Josh Starmer

Multiple Regression, Clearly Explained!!!

8 years ago - 5:25

One-Hot, Label, Target and K-Fold Target Encoding, Clearly Explained!!!

StatQuest with Josh Starmer

One-Hot, Label, Target and K-Fold Target Encoding, Clearly Explained!!!

3 years ago - 15:23

Sample Size and Effective Sample Size, Clearly Explained!!!

StatQuest with Josh Starmer

Sample Size and Effective Sample Size, Clearly Explained!!!

8 years ago - 6:33

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

StatQuest with Josh Starmer

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

5 years ago - 11:10

StatQuest: A gentle introduction to ChIP-Seq

StatQuest with Josh Starmer

StatQuest: A gentle introduction to ChIP-Seq

8 years ago - 8:30

CatBoost Part 2: Building and Using Trees

StatQuest with Josh Starmer

CatBoost Part 2: Building and Using Trees

3 years ago - 16:16

Using Bootstrapping to Calculate p-values!!!

StatQuest with Josh Starmer

Using Bootstrapping to Calculate p-values!!!

5 years ago - 8:08

Saturated Models and Deviance

StatQuest with Josh Starmer

Saturated Models and Deviance

8 years ago - 18:40

Cosine Similarity, Clearly Explained!!!

StatQuest with Josh Starmer

Cosine Similarity, Clearly Explained!!!

3 years ago - 10:14

Wildest Dreams

StatQuest with Josh Starmer

Wildest Dreams

7 years ago - 4:03

Stats You Need to Know as a Data Analyst (w/ StatQuest)

Avery Smith | Data Analyst

Stats You Need to Know as a Data Analyst (w/ StatQuest)

2 years ago - 36:18

XGBoost Part 3 (of 4): Mathematical Details

StatQuest with Josh Starmer

XGBoost Part 3 (of 4): Mathematical Details

6 years ago - 27:24

StatQuest: PCA in R

StatQuest with Josh Starmer

StatQuest: PCA in R

8 years ago - 8:57

Neural Networks Pt. 4: Multiple Inputs and Outputs

StatQuest with Josh Starmer

Neural Networks Pt. 4: Multiple Inputs and Outputs

5 years ago - 13:50

Maximum Likelihood for the Exponential Distribution, Clearly Explained!!!

StatQuest with Josh Starmer

Maximum Likelihood for the Exponential Distribution, Clearly Explained!!!

8 years ago - 9:39

RPKM, FPKM and TPM, Clearly Explained!!!

StatQuest with Josh Starmer

RPKM, FPKM and TPM, Clearly Explained!!!

11 years ago - 10:14

StatQuest: PCA in Python

StatQuest with Josh Starmer

StatQuest: PCA in Python

8 years ago - 11:37

StarQuest Media

StarQuest Media

StarQuest Media (SQPN) is a Catholic media apostolate that explores the intersection of faith and pop culture through programs ...

@StarQuestMedia subscribers

💜A NEW World!? Minecraft StarQuest Ep. 1

Katherine Elizabeth

💜A NEW World!? Minecraft StarQuest Ep. 1

4 years ago - 17:57

Lowess and Loess, Clearly Explained!!!

StatQuest with Josh Starmer

Lowess and Loess, Clearly Explained!!!

9 years ago - 10:10

Design Matrices For Linear Models, Clearly Explained!!!

StatQuest with Josh Starmer

Design Matrices For Linear Models, Clearly Explained!!!

7 years ago - 14:40

StatQuest: edgeR, part 1, Library Normalization

StatQuest with Josh Starmer

StatQuest: edgeR, part 1, Library Normalization

9 years ago - 14:17

Introduction to Coding Neural Networks with PyTorch and Lightning

StatQuest with Josh Starmer

Introduction to Coding Neural Networks with PyTorch and Lightning

3 years ago - 20:43

Essential Matrix Algebra for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer

Essential Matrix Algebra for Neural Networks, Clearly Explained!!!

2 years ago - 30:01