Pokročilé vytváranie atribútov pre Machine Learning v Pythone
2h 29min
Time
17
Chapters
Programovanie
Category
5.0
Rating
Advanced
Level
slovak
Language
Chapters
Vitajte v kurze!
Úvod do kurzu
4min
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Materiály na stiahnutie
-
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Kategorické atribúty
Dôležité zopakovanie si základných metód
20min
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Enkódovanie cez sumárnu štatistiku vstupu
6min
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Target Encoding - najzákladnejšia forma
8min
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Metódy “Weight of Evidence” a Leave-one-out Encoding
9min
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Transformer CatBoost Encoder
13min
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Feature Cross - Interakcie kategorických atribútov
9min
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Bonusové metódy na enkódovanie
11min
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Numerické atribúty
Stabilizovanie rozptylu
14min
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Techniky špecifické pre linárne modely: Polynomials a Splines
8min
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Diskretizácia
8min
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Interakcie numerických atribútov
4min
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Redukcia dimenzionality
9min
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Ostatné atribúty
Cyklické atribúty
8min
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Vyjadrenie extrémnosti pozorovania
6min
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Praktické odporúčania
6min
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