Preskoči na glavno vsebino
e-učilnica UP FAMNIT
Slovenščina (sl)
English (en)
Slovenščina (sl)
Trenutno uporabljate gostujoči dostop (
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ELBA_Bishkek
Domov
Predmeti
Razno
DIST
ELBA_Bishkek
Day 2: ETL and classification
Data files folder
Data files folder
...
Prenesi mapo
brown-selected.tab
GDS3713-small.tab
GDS4182-small.tab
heart_disease.tab
iris.tab
sailing.tab
Workflow 1.ows
Workflow 2.ows
Workflow 3.ows
Workflow 4.ows
Workflow 5.ows
Workflow 6.ows
Workflow 7.ows
Workflow 8.ows
Workflow 9.ows
◄ 14 - How to correctly perform test and score
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Announcements
Discussion
Re-training program (tentative)
Re-training agenda (tentative)
01 - Workflows in Orange
02 - Basic data exploration
03 - Saving your work
04 - Loading your own data set
Data files folder
05 - Classification
06 - Classification trees
07 - Model inspection
08 - Classification accuracy
09 - How to cheat
10 - Cross-validation
11 - A few more classifiers
14 - How to correctly perform test and score
17 - Linear regression
18 - Regularization
19 - Regularization and accuracy on test set
21 - Evaluating regression
23 - Hierarchical clustering
24 - A clustering example
25 - Discovering clusters
Data files folder
26 - Cluster interpretation
27 - k-Means clustering
28 - Finding clusters when there are none
35 - Image embedding
36 - Images and classification
Data files folder
Instructional videos of Orange
Kaggle data repository and more
Data Mining and Machine Learning: Fundamental Concepts and Algorithms
Mining of Massive Datasets (Stanford)
Deep Learning (MIT - the book)
Data files folder
12 - A sneaky way to cheat
13 - Cheating works even on randomized data
15 - Model scoring
16 - Choosing the decision threshold
20 - Prediction of tissue age from level of methylation
22 - Feature scoring and selection
Data files folder
17 - Linear regression ►