StatQuest
https://www.youtube.com/playlist?list=PLblh5JKOoLUIcdlgu78MnlATeyx4cEVeR
视频选集
（10/87）
02 - StatQuest - Probability vs Likelihood
05:01
01 - StatQuest - Principal Component Analysis (PCA) Step-by-Step
21:58
03 - StatQuest - Maximum Likelihood clearly explained!!!
06:12
04 - StatQuest - Logistic Regression
08:48
05 - StatQuest - Linear Discriminant Analysis (LDA) clearly explained.
15:12
06 - StatQuest - PCA main ideas in only 5 minutes!!!
06:05
07 - StatQuest - A gentle introduction to RNA-seq
18:26
08 - StatQuest - Random Forests Part 1 - Building Using and Evaluating
09:54
09 - StatQuest - RPKM FPKM and TPM
10:15
10 - StatQuest - Quantile-Quantile Plots (QQ plots) Clearly Explained
06:56
11 - StatQuest - K-means clustering
08:58
12 - StatQuest - t-SNE Clearly Explained
11:48
13 - Logistic Regression Details Pt1 - Coefficients
19:02
14 - StatQuest - Decision Trees
17:22
15 - Machine Learning Fundamentals - Bias and Variance
06:37
16 - StatQuest - P Values clearly explained
15:55
17 - Regularization Part 1 - Ridge Regression
20:27
18 - StatQuest - Linear Models Pt.1 - Linear Regression
27:27
19 - Maximum Likelihood For the Normal Distribution step-by-step!
19:50
20 - StatQuest - Quantiles and Percentiles Clearly Explained!!!
06:30
21 - StatQuickie - Standard Deviation vs Standard Error
02:52
22 - StatQuest - The Trailer!
00:49
23 - Logistic Regression in R Clearly Explained!!!!
17:15
24 - StatQuest - PCA in R
08:57
25 - Logistic Regression Details Pt 2 - Maximum Likelihood
10:23
26 - StatQuest - Hierarchical Clustering
11:19
27 - StatQuest - A gentle introduction to ChIP-Seq
08:30
28 - StatQuest - R-squared explained
11:01
29 - Regularization Part 2 - Lasso Regression
08:19
30 - StatQuest - Random Forests Part 2 - Missing data and clustering
11:25
31 - Machine Learning Fundamentals - Cross Validation
06:05
32 - StatQuest - Linear Models Pt.2 - t-tests and ANOVA
11:38
33 - StatQuest - MDS and PCoA
08:19
34 - StatQuest - Odds Ratios and Log(Odds Ratios) Clearly Explained!!!
16:20
35 - StatQuest - PCA in Python
11:37
36 - Maximum Likelihood for the Exponential Distribution Clearly Explained! V1.0
08:43
37 - StatQuest - K-nearest neighbors Clearly Explained
05:31
38 - StatQuest - Fitting a line to data aka least squares aka linear regression.
09:22
39 - Logistic Regression Details Pt 3 - R-squared and p-value
15:25
40 - StatQuest - Fiitting a curve to data aka lowess aka loess
10:11
41 - StatQuest - Histograms Clearly Explained
03:43
42 - StatQuest - DESeq2 part 1 Library Normalization
12:42
43 - StatQuest - What is a statistical model
03:45
44 - StatQuest - What is a statistical distribution
05:15
45 - A Gentle Introduction to Machine Learning
12:46
46 - StatQuest - Linear Models Pt.1.5 - Multiple Regression
05:25
47 - StatQuest - The Normal Distribution Clearly Explained!!!
05:13
48 - ROC and AUC Clearly Explained!
16:24
49 - StatQuest - Heatmaps - considerations for drawing and interpreting them.
16:49
50 - The Binomial Distribution and Test Clearly Explained!!!
15:47
51 - StatQuest - PCA - Practical Tips
08:20
52 - StatQuest - Random Forests in R
15:10
53 - Machine Learning Fundamentals - The Confusion Matrix
07:13
54 - Maximum Likelihood for the Exponential Distribution Clearly Explained! V2.0
09:39
55 - StatQuest - The standard error
11:44
56 - StatQuest - Logs (logarithms) clearly explained
15:37
57 - Machine Learning Fundamentals - Sensitivity and Specificity
11:47
58 - StatQuest - p-hacking and power calculations
19:12
59 - Regularization Part 3 - Elastic Net Regression
05:19
60 - AdaBoost Clearly Explained
20:54
61 - StatQuest - Sample Size and Effective Sample Size Clearly Explained
06:33
62 - StatQuest - edgeR and DESeq2 part 2 - Independent Filtering
21:24
63 - StatQuest - Confidence Intervals
06:42
64 - StatQuest - Multiple Regression in R
07:43
65 - StatQuest - Sampling A Distribution
03:49
66 - Maximum Likelihood for the Binomial Distribution Clearly Explained!!!
11:24
67 - Gradient Descent Step-by-Step
23:54
68 - StatQuest- Enrichment Analysis using Fisher Exact Test and the Hypergeometr
05:15
69 - StatQuest - Quantile Normalization
04:52
70 - StatQuest - Technical and Biological Replicates
05:27
71 - StatQuest - Decision Trees Part 2 - Feature Selection and Missing Data
05:16
72 - StatQuest - Linear Regression in R
05:01
73 - StatQuest - edgeR part 1 Library Normalization
14:17
74 - Ridge Lasso and Elastic-Net Regression in R
17:51
75 - StatQuest - Linear Models Pt.3 - Design Matrix Examples in R
08:20
76 - StatQuest - MDS and PCoA in R
07:45
77 - Saturated Models and Deviance
18:40
78 - StatQuest - One or Two Tailed P-Values
07:06
79 - ROC and AUC in R
15:13
80 - StatQuest - Boxplots Clearly Explained
02:33
81 - Deviance Residuals
06:18
82 - StatQuickie - Which t test to use
05:10
83 - StatQuest - RNA-seq - the problem with technical replicates
12:56
84 - StatQuickie - Thresholds for Significance
06:40
85 - Bar Charts Are Better than Pie Charts
01:45
86 - Linear Models Pt.3 - Design Matrices
14:40
87 - StatQuest - How to make a Mean Pizza Crust!!!
08:12
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