09:16
Gene Set Enrichment in Survival Analysis
08:51
Expression Data in Survival Analysis
06:44
Ranking Survival Features
07:25
Survival Differences Between Groups
08:36
The Data & Survival Curve
04:07
Text Preprocessing
06:42
Document Embedding
05:22
Word Classification
03:25
Cookie Mining
03:59
Word Clustering
04:47
Semantic Word Search
06:20
Word Embedding and Nearest Neighbors
08:51
Neural Networks
05:41
Logistic Regression Nomogram
05:44
Logistic Regression
06:11
Random Forests
05:54
Cross-Validation
05:46
Always Estimate Accuracy on Independent Test Set
05:18
Overfitting with Classification Trees
03:45
Forward Pruning of Trees
05:19
Classification Trees
04:37
Classification
04:39
Explaining k-Means Clusters
05:24
How to choose k for k-Means?
03:55
Initial Centroids for k-Means
04:46
k-Means Clustering
05:01
Silhouette Score, Inliers, and Outliers
05:05
Explaining the Data Maps
05:54
tSNE vs MDS vs PCA
05:06
t-Distributed Stochastic Neighbor Embedding
06:21
Multidimensional Scaling
06:52
Explaining PCA
04:26
Some More Details on PCA
04:13
Principal Component Analysis
04:12
Construct your own Data
05:00
Explaining Clusters
03:56
Hierarchical Clustering and Geo Maps
03:20
Clustering in Higher Dimensions
04:49
Dendrograms
05:13
Cluster Distances
06:12
Euclidean Distance in 2D
05:45
Data Distributions
03:42
Correlations
05:20
Saving Your Work
06:41
Orange Workflows
05:08
Saj Prleki so Prekmurci, a niso?
07:49
Na koga spominjajo Koprčani?
07:58
Je v Sloveniji več Zajcev ali Medvedov?
05:02
Semantic Word Maps and Clusters
03:33
Semantic Document Maps and Clusters
04:21
Loading Text Corpus from the Document Repository
03:58
Text Mining: Document to Network
03:55
Text Mining: Document Embeddings
04:00
Text Mining: Sentiment Analysis
05:03
Text Mining: Twitter Data Analysis
05:17
Plotting Covid-19 Data in Time
05:18
Visualizing Covid-19 Data with Maps
06:33
Explore the Covid-19 Data with Orange
03:41
Single Cell Orange 06: Batch Effect Removal
04:39
Single Cell Orange 05: Scoring Cells by Marker Genes
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About
Video tutorials for Orange data mining suite. Explanation of popular data mining algorithms and demonstration of workflow construction in the program.
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