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Python Machine Learning Course
Itholele maatla a data ka Khoso ya rona ya Python Machine Learning, e diretsweng bomankge ba Business Intelligence. Ithute ka botlalo tshekatsheko ya data, o ithute dipalopalo tse di tlhalosang le mekgwa ya go bona dipaterone le dintlha tse di supang. Tlhatlosa bokgoni jwa gago ka go baakanya data, go thapisa model, le go e sekaseka, go akaretsa cross-validation le metara ya performance. Bona dintlha tse di supang mo di-algorithm tsa machine learning tse di jaaka logistic regression le ditlhare tsa ditshwetso. Fetola data go nna dikgakololo tsa kgwebo tse di mosola mme o tokafatse di-model ka hyperparameter tuning. Ikopanye le rona jaanong go oketsa bokgoni jwa gago jwa BI.
- Ithute go bona data: Dira dichate tse di nang le mosola go dira ditshwetso tse di botlhale tsa kgwebo.
- Dira tshekatsheko e e tseneletseng: Ithute dipaterone le dintlha tse di supang mo dataseteng e e rarahaneng.
- Tokafatse di-model tsa machine learning: Dira gore di-algorithm di bereke botoka.
- Dirisa go baakanya data: Itshekise o bo o fetole data go dira tshekatsheko e e nepahetseng.
- Tlhagisa dintlha tse di mosola: Fetolela maduo a model go nna maano a kgwebo a a ka dirisiwang.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Itholele maatla a data ka Khoso ya rona ya Python Machine Learning, e diretsweng bomankge ba Business Intelligence. Ithute ka botlalo tshekatsheko ya data, o ithute dipalopalo tse di tlhalosang le mekgwa ya go bona dipaterone le dintlha tse di supang. Tlhatlosa bokgoni jwa gago ka go baakanya data, go thapisa model, le go e sekaseka, go akaretsa cross-validation le metara ya performance. Bona dintlha tse di supang mo di-algorithm tsa machine learning tse di jaaka logistic regression le ditlhare tsa ditshwetso. Fetola data go nna dikgakololo tsa kgwebo tse di mosola mme o tokafatse di-model ka hyperparameter tuning. Ikopanye le rona jaanong go oketsa bokgoni jwa gago jwa BI.
Elevify advantages
Develop skills
- Ithute go bona data: Dira dichate tse di nang le mosola go dira ditshwetso tse di botlhale tsa kgwebo.
- Dira tshekatsheko e e tseneletseng: Ithute dipaterone le dintlha tse di supang mo dataseteng e e rarahaneng.
- Tokafatse di-model tsa machine learning: Dira gore di-algorithm di bereke botoka.
- Dirisa go baakanya data: Itshekise o bo o fetole data go dira tshekatsheko e e nepahetseng.
- Tlhagisa dintlha tse di mosola: Fetolela maduo a model go nna maano a kgwebo a a ka dirisiwang.
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Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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