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AI Specialist Course
Tsholetsa tiro ya gago ka Kgosi ya Boranyane jwa AI, e e diretsweng batho ba ba dirang ka boranyane ba ba tlhokang go itse botlhokwa jwa botlhale jwa maitirelo. Ithute ka go kokoanya le go baakanya data, ithute go samagana le data e e tlhaelang, mme o dirise mekgwa ya go tlwaetsa data. Nna le bokgoni mo go lekanyetseng maduo a dipalangwa jaaka MAE le R-squared, mme o tokafatse bokgoni jwa gago mo go thapisa dipalangwa le go baakanya di-hyperparameter o dirisa Scikit-Learn. Ithute ka ditsela tsa go ruta dipalangwa jaaka ditlhare tsa ditshwetso le dikgwa tsa ditshwantsho, mme o oketse bokgoni jwa gago jwa go kwala ditokomane le go bega. Kopanela le rona go fetola botswerere jwa gago jwa AI gompieno!
- Ithute go kokoanya data: Lemoga le go baakanya didata tse di maleba ka bonako.
- Tokafatso ya dipalangwa: Thapisa le go baakanya dipalangwa o dirisa mekgwa ya Scikit-Learn.
- Sekaseka maduo: Sekaseka dipalangwa ka MAE, R-squared, le MSE.
- Diragatsa ditsela: Dirisa ditlhare tsa ditshwetso, linear regression, le dikgwa tsa ditshwantsho.
- Kwala ditokomane tsa malebela: Tlhama dipego tse di feletseng tsa boranyane le ditlhagiso.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Tsholetsa tiro ya gago ka Kgosi ya Boranyane jwa AI, e e diretsweng batho ba ba dirang ka boranyane ba ba tlhokang go itse botlhokwa jwa botlhale jwa maitirelo. Ithute ka go kokoanya le go baakanya data, ithute go samagana le data e e tlhaelang, mme o dirise mekgwa ya go tlwaetsa data. Nna le bokgoni mo go lekanyetseng maduo a dipalangwa jaaka MAE le R-squared, mme o tokafatse bokgoni jwa gago mo go thapisa dipalangwa le go baakanya di-hyperparameter o dirisa Scikit-Learn. Ithute ka ditsela tsa go ruta dipalangwa jaaka ditlhare tsa ditshwetso le dikgwa tsa ditshwantsho, mme o oketse bokgoni jwa gago jwa go kwala ditokomane le go bega. Kopanela le rona go fetola botswerere jwa gago jwa AI gompieno!
Elevify advantages
Develop skills
- Ithute go kokoanya data: Lemoga le go baakanya didata tse di maleba ka bonako.
- Tokafatso ya dipalangwa: Thapisa le go baakanya dipalangwa o dirisa mekgwa ya Scikit-Learn.
- Sekaseka maduo: Sekaseka dipalangwa ka MAE, R-squared, le MSE.
- Diragatsa ditsela: Dirisa ditlhare tsa ditshwetso, linear regression, le dikgwa tsa ditshwantsho.
- Kwala ditokomane tsa malebela: Tlhama dipego tse di feletseng tsa boranyane le ditlhagiso.
Suggested summary
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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