Summary One page 2 side cheatsheet DataScience & Society
This two-page Data Science and Statistics (DSS) Cheat Sheet is designed to support students preparing for the INFOMDSS open book exam, providing a focused yet comprehensive overview of essential clustering, classification, and evaluation metrics. With quick-reference explanations of key concepts—such as clustering methods (K-means, DBSCAN), performance metrics (Silhouette Index, ROC curves), and data quality measures—this cheat sheet is also a valuable resource for other data science courses. Its clear layout and depth make it an effective study aid and a handy reference for mastering foundational data science concepts. Which is perfect for open book exams.
Geschreven voor
Documentinformatie
- Heel boek samengevat?
- Ja
- Geüpload op
- 5 november 2024
- Aantal pagina's
- 3
- Geschreven in
- 2024/2025
- Type
- SAMENVATTING
Onderwerpen
- similarity
- warehousing
- data transformation
- data preparation
- semma
- gdpr
- ethics
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crispdm
-
bayes theorem
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clustering
-
classification
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linkage
-
entropy