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StatQuest with Josh Starmer

Machine Learning

4,203,447 views
98 items
Last updated on Apr 8, 2024
public playlist 
Machine Learning covers a lot of topics and this can be intimidating. However, there is no reason to fear, this play list will help you trough it all, one step at a time.
StatQuest with Josh Starmer
A Gentle Introduction to Machine Learning
12:45
A Gentle Introduction to Machine Learning

StatQuest with Josh Starmer
Machine Learning Fundamentals: Cross Validation
6:05
Machine Learning Fundamentals: Cross Validation

StatQuest with Josh Starmer
Machine Learning Fundamentals: The Confusion Matrix
7:13
Machine Learning Fundamentals: The Confusion Matrix

StatQuest with Josh Starmer
Machine Learning Fundamentals: Sensitivity and Specificity
11:47
Machine Learning Fundamentals: Sensitivity and Specificity

StatQuest with Josh Starmer
The Sensitivity, Specificity, Precision, Recall Sing-a-Long!!!
0:42
The Sensitivity, Specificity, Precision, Recall Sing-a-Long!!!

StatQuest with Josh Starmer
Machine Learning Fundamentals: Bias and Variance
6:36
Machine Learning Fundamentals: Bias and Variance

StatQuest with Josh Starmer
ROC and AUC, Clearly Explained!
16:17
ROC and AUC, Clearly Explained!

StatQuest with Josh Starmer
ROC and AUC in R
15:13
ROC and AUC in R

StatQuest with Josh Starmer
Entropy (for data science) Clearly Explained!!!
16:35
Entropy (for data science) Clearly Explained!!!

StatQuest with Josh Starmer
Mutual Information, Clearly Explained!!!
16:14
Mutual Information, Clearly Explained!!!

StatQuest with Josh Starmer
The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)
9:22
The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)

StatQuest with Josh Starmer
Linear Regression, Clearly Explained!!!
27:27
Linear Regression, Clearly Explained!!!

StatQuest with Josh Starmer
Multiple Regression, Clearly Explained!!!
5:25
Multiple Regression, Clearly Explained!!!

StatQuest with Josh Starmer
Using Linear Models for t-tests and ANOVA, Clearly Explained!!!
11:38
Using Linear Models for t-tests and ANOVA, Clearly Explained!!!

StatQuest with Josh Starmer
Design Matrices For Linear Models, Clearly Explained!!!
14:40
Design Matrices For Linear Models, Clearly Explained!!!

StatQuest with Josh Starmer
Odds and Log(Odds), Clearly Explained!!!
11:31
Odds and Log(Odds), Clearly Explained!!!

StatQuest with Josh Starmer
Odds Ratios and Log(Odds Ratios), Clearly Explained!!!
16:20
Odds Ratios and Log(Odds Ratios), Clearly Explained!!!

StatQuest with Josh Starmer
StatQuest: Logistic Regression
8:48
StatQuest: Logistic Regression

StatQuest with Josh Starmer
Logistic Regression Details Pt1: Coefficients
19:02
Logistic Regression Details Pt1: Coefficients

StatQuest with Josh Starmer
Logistic Regression Details Pt 2: Maximum Likelihood
10:23
Logistic Regression Details Pt 2: Maximum Likelihood

StatQuest with Josh Starmer
Logistic Regression Details Pt 3: R-squared and p-value
15:25
Logistic Regression Details Pt 3: R-squared and p-value

StatQuest with Josh Starmer
Saturated Models and Deviance
18:40
Saturated Models and Deviance

StatQuest with Josh Starmer
Logistic Regression in R, Clearly Explained!!!!
17:15
Logistic Regression in R, Clearly Explained!!!!

StatQuest with Josh Starmer
Deviance Residuals
6:18
Deviance Residuals

StatQuest with Josh Starmer
Regularization Part 1: Ridge (L2) Regression
20:27
Regularization Part 1: Ridge (L2) Regression

StatQuest with Josh Starmer
Regularization Part 2: Lasso (L1) Regression
8:19
Regularization Part 2: Lasso (L1) Regression

StatQuest with Josh Starmer
Ridge vs Lasso Regression, Visualized!!!
9:06
Ridge vs Lasso Regression, Visualized!!!

StatQuest with Josh Starmer
Regularization Part 3: Elastic Net Regression
5:19
Regularization Part 3: Elastic Net Regression

StatQuest with Josh Starmer
Ridge, Lasso and Elastic-Net Regression in R
17:51
Ridge, Lasso and Elastic-Net Regression in R

StatQuest with Josh Starmer
StatQuest: Principal Component Analysis (PCA), Step-by-Step
21:58
StatQuest: Principal Component Analysis (PCA), Step-by-Step

StatQuest with Josh Starmer
StatQuest: PCA main ideas in only 5 minutes!!!
6:05
StatQuest: PCA main ideas in only 5 minutes!!!

StatQuest with Josh Starmer
StatQuest: PCA - Practical Tips
8:20
StatQuest: PCA - Practical Tips

StatQuest with Josh Starmer
StatQuest: PCA in R
8:57
StatQuest: PCA in R

StatQuest with Josh Starmer
StatQuest: PCA in Python
11:37
StatQuest: PCA in Python

StatQuest with Josh Starmer
StatQuest: Linear Discriminant Analysis (LDA) clearly explained.
15:12
StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

StatQuest with Josh Starmer
Bam!!! Clearly Explained!!!
2:49
Bam!!! Clearly Explained!!!

StatQuest with Josh Starmer
StatQuest: MDS and PCoA
8:18
StatQuest: MDS and PCoA

StatQuest with Josh Starmer
StatQuest: MDS and PCoA in R
7:45
StatQuest: MDS and PCoA in R

StatQuest with Josh Starmer
StatQuest: t-SNE, Clearly Explained
11:48
StatQuest: t-SNE, Clearly Explained

StatQuest with Josh Starmer
StatQuest: Hierarchical Clustering
11:19
StatQuest: Hierarchical Clustering

StatQuest with Josh Starmer
StatQuest: K-means clustering
8:31
StatQuest: K-means clustering

StatQuest with Josh Starmer
Clustering with DBSCAN, Clearly Explained!!!
9:30
Clustering with DBSCAN, Clearly Explained!!!

StatQuest with Josh Starmer
StatQuest: K-nearest neighbors, Clearly Explained
5:30
StatQuest: K-nearest neighbors, Clearly Explained

StatQuest with Josh Starmer
Naive Bayes, Clearly Explained!!!
15:12
Naive Bayes, Clearly Explained!!!

StatQuest with Josh Starmer
Gaussian Naive Bayes, Clearly Explained!!!
9:26
Gaussian Naive Bayes, Clearly Explained!!!

StatQuest with Josh Starmer
Decision and Classification Trees, Clearly Explained!!!
18:08
Decision and Classification Trees, Clearly Explained!!!

StatQuest with Josh Starmer
StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data
5:16
StatQuest: Decision Trees, Part 2 - Feature Selection and Missing Data

StatQuest with Josh Starmer
Regression Trees, Clearly Explained!!!
22:33
Regression Trees, Clearly Explained!!!

StatQuest with Josh Starmer
How to Prune Regression Trees, Clearly Explained!!!
16:15
How to Prune Regression Trees, Clearly Explained!!!

StatQuest with Josh Starmer
One-Hot, Label, Target and K-Fold Target Encoding, Clearly Explained!!!
15:23
One-Hot, Label, Target and K-Fold Target Encoding, Clearly Explained!!!

StatQuest with Josh Starmer
Classification Trees in Python from Start to Finish
1:06:24
Classification Trees in Python from Start to Finish

StatQuest with Josh Starmer
StatQuest: Random Forests Part 1 - Building, Using and Evaluating
9:54
StatQuest: Random Forests Part 1 - Building, Using and Evaluating

StatQuest with Josh Starmer
StatQuest: Random Forests Part 2: Missing data and clustering
11:53
StatQuest: Random Forests Part 2: Missing data and clustering

StatQuest with Josh Starmer
StatQuest: Random Forests in R
15:10
StatQuest: Random Forests in R

StatQuest with Josh Starmer
The Chain Rule
18:24
The Chain Rule

StatQuest with Josh Starmer
Gradient Descent, Step-by-Step
23:54
Gradient Descent, Step-by-Step

StatQuest with Josh Starmer
Stochastic Gradient Descent, Clearly Explained!!!
10:53
Stochastic Gradient Descent, Clearly Explained!!!

StatQuest with Josh Starmer
AdaBoost, Clearly Explained
20:54
AdaBoost, Clearly Explained

StatQuest with Josh Starmer
Gradient Boost Part 1 (of 4): Regression Main Ideas
15:52
Gradient Boost Part 1 (of 4): Regression Main Ideas

StatQuest with Josh Starmer
Gradient Boost Part 2 (of 4): Regression Details
26:46
Gradient Boost Part 2 (of 4): Regression Details

StatQuest with Josh Starmer
Gradient Boost Part 3 (of 4): Classification
17:03
Gradient Boost Part 3 (of 4): Classification

StatQuest with Josh Starmer
Gradient Boost Part 4 (of 4): Classification Details
37:00
Gradient Boost Part 4 (of 4): Classification Details

StatQuest with Josh Starmer
Troll 2, Clearly Explained!!!
5:06
Troll 2, Clearly Explained!!!

StatQuest with Josh Starmer
XGBoost Part 1 (of 4): Regression
25:46
XGBoost Part 1 (of 4): Regression

StatQuest with Josh Starmer
XGBoost Part 2 (of 4): Classification
25:18
XGBoost Part 2 (of 4): Classification

StatQuest with Josh Starmer
XGBoost Part 3 (of 4): Mathematical Details
27:24
XGBoost Part 3 (of 4): Mathematical Details

StatQuest with Josh Starmer
XGBoost Part 4 (of 4): Crazy Cool Optimizations
24:27
XGBoost Part 4 (of 4): Crazy Cool Optimizations

StatQuest with Josh Starmer
XGBoost in Python from Start to Finish
56:43
XGBoost in Python from Start to Finish

StatQuest with Josh Starmer
Cosine Similarity, Clearly Explained!!!
10:14
Cosine Similarity, Clearly Explained!!!

StatQuest with Josh Starmer
Support Vector Machines Part 1 (of 3): Main Ideas!!!
20:32
Support Vector Machines Part 1 (of 3): Main Ideas!!!

StatQuest with Josh Starmer
Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)
7:15
Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)

StatQuest with Josh Starmer
Support Vector Machines Part 3: The Radial (RBF) Kernel (Part 3 of 3)
15:52
Support Vector Machines Part 3: The Radial (RBF) Kernel (Part 3 of 3)

StatQuest with Josh Starmer
Support Vector Machines in Python from Start to Finish.
44:49
Support Vector Machines in Python from Start to Finish.

StatQuest with Josh Starmer
The Essential Main Ideas of Neural Networks
18:54
The Essential Main Ideas of Neural Networks

StatQuest with Josh Starmer
Neural Networks Pt. 2: Backpropagation Main Ideas
17:34
Neural Networks Pt. 2: Backpropagation Main Ideas

StatQuest with Josh Starmer
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.
18:32
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.

StatQuest with Josh Starmer
Backpropagation Details Pt. 2: Going bonkers with The Chain Rule
13:09
Backpropagation Details Pt. 2: Going bonkers with The Chain Rule

StatQuest with Josh Starmer
Neural Networks Pt. 3: ReLU In Action!!!
8:58
Neural Networks Pt. 3: ReLU In Action!!!

StatQuest with Josh Starmer
Neural Networks Pt. 4: Multiple Inputs and Outputs
13:50
Neural Networks Pt. 4: Multiple Inputs and Outputs

StatQuest with Josh Starmer
Neural Networks Part 5: ArgMax and SoftMax
14:03
Neural Networks Part 5: ArgMax and SoftMax

StatQuest with Josh Starmer
The SoftMax Derivative, Step-by-Step!!!
7:13
The SoftMax Derivative, Step-by-Step!!!

StatQuest with Josh Starmer
Neural Networks Part 6: Cross Entropy
9:31
Neural Networks Part 6: Cross Entropy

StatQuest with Josh Starmer
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation
22:08
Neural Networks Part 7: Cross Entropy Derivatives and Backpropagation

StatQuest with Josh Starmer
Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)
15:24
Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)

StatQuest with Josh Starmer
Recurrent Neural Networks (RNNs), Clearly Explained!!!
16:37
Recurrent Neural Networks (RNNs), Clearly Explained!!!

StatQuest with Josh Starmer
Long Short-Term Memory (LSTM), Clearly Explained
20:45
Long Short-Term Memory (LSTM), Clearly Explained

StatQuest with Josh Starmer
Word Embedding and Word2Vec, Clearly Explained!!!
16:12
Word Embedding and Word2Vec, Clearly Explained!!!

StatQuest with Josh Starmer
Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!
16:50
Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer
Attention for Neural Networks, Clearly Explained!!!
15:51
Attention for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer
Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!
36:15
Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

StatQuest with Josh Starmer
Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!
36:45
Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

StatQuest with Josh Starmer
Tensors for Neural Networks, Clearly Explained!!!
9:40
Tensors for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer
Essential Matrix Algebra for Neural Networks, Clearly Explained!!!
30:01
Essential Matrix Algebra for Neural Networks, Clearly Explained!!!

StatQuest with Josh Starmer
The matrix math behind transformer neural networks, one step at a time!!!
23:43
The matrix math behind transformer neural networks, one step at a time!!!

StatQuest with Josh Starmer
The StatQuest Introduction to PyTorch
23:22
The StatQuest Introduction to PyTorch

StatQuest with Josh Starmer
Introduction to Coding Neural Networks with PyTorch and Lightning
20:43
Introduction to Coding Neural Networks with PyTorch and Lightning

StatQuest with Josh Starmer
Long Short-Term Memory with PyTorch + Lightning
33:24
Long Short-Term Memory with PyTorch + Lightning

StatQuest with Josh Starmer
Word Embedding in PyTorch + Lightning
32:02
Word Embedding in PyTorch + Lightning