Vytváranie atribútov pre Machine Learning v Pythone
6h 12min
Time
40
Chapters
Programovanie
Category
5.0
Rating
Intermediate
Level
slovak
Language
Chapters
Vitajte v kurze!
O tomto kurze
3min
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Nastavovanie prostredia a materiály na stiahnutie
17min
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1. Úvod do vytvárania atribútov
Čo je vytváranie atribútov?
7min
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Modely sa spoliehajú na nás
7min
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Tri piliere vytvárania atribútov
6min
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Atribúty, ktoré budeme vytvárať
16min
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Atribúty, ktoré NEbudeme vytvárať
12min
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2. Úvod do stavových transformácií a scikit-learn knižnice
Stavové transformácie
15min
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Ahoj sklearn!
18min
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3. Numerické atribúty
Základná intuícia numerických atribútov
8min
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Modely a škály
9min
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Škálovanie pomocou knižnice sklearn
17min
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Outliers (extrémne hodnoty)
12min
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Práca s outliermi v sklearn
11min
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Notebook o Numerických atribútoch
2min
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4. Kategorické atribúty
Čo sú kategorické atribúty?
4min
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Kardinalita kategorických atribútov
3min
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Problémy s vysokou kardinalitou
10min
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Enkódovanie kategorického atribútu
6min
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Ordinálne enkódovanie
13min
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Enkódovanie pomocou dedikovaného dátového typu
7min
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One-hot enkódovanie
12min
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Lexicographical enkódovanie
10min
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Vzácne hodnoty v kategorických atribútoch
8min
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Notebook o kategorických atribútoch
2min
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5. Atribúty dátumu a času
Atribúty dátumu a času
5min
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6. Chýbajúce hodnoty
Úvod do chýbajúcich hodnôt
4min
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Stratégie chýbajúcich hodnôt
14min
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Riešenia chýbajúcich hodnôt
18min
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Chýbajúce hodnoty v sklearn
10min
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Notebook o chýbajúcich hodnotách
2min
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7. Vyberanie atribútov
Vyberanie atribútov
8min
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Výber atribútov je dôležitý
10min
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Konštantné a kvázi-konštantné atribúty
10min
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Duplikované a korelované atribúty
10min
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Filter metódy
12min
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Wrapper metódy
8min
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Embedded metódy
3min
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Čo ďalej?
Diskusia a hodnotenie
1min
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Gratulujem! Čo ďalej?
1min
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