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AI And Machine Learning Course
Tsholetsa tiro ya gago mo go Business Intelligence ka Khoso ya rona ya AI le Machine Learning. Ithute go baakanya data, go akaretsa go e rulaganya, go samagana le boleng jo bo tlogetsweng, le go alafa dintlha tse di kwa thoko. Ithute ka algorithms tse di bonang isagwe jaaka linear regression, ditlhare tsa ditshwetso, le mekgwa e e kwa godimo jaaka random forests. Tokofatsa ditsela ka mekgwa ya ensemble le go tlhabolola hyperparameter. Ithute cross-validation, go kgaoganya data, le ditekanyetso tsa maduo. Tokofatsa bokgoni jwa gago jwa go tlhaloganya maduo le go kwala dipego ka manontlhotlho. Ikopanye le rona jaanong go ithuta ka bokhutshwane le boleng jo bo kwa godimo jo bo diretsweng batho ba BI.
- Ithute go phepafatsa data: Samagana le boleng jo bo tlogetsweng le dintlha tse di kwa thoko ka nepagalo.
- Diragatsa algorithms tsa ML: Dirisa linear regression le ditlhare tsa ditshwetso ka botswerere.
- Tokofatsa ditsela: Oketsa maduo ka go tlhabolola hyperparameter le mekgwa ya ensemble.
- Sekaseka nepagalo ya tsela: Dirisa cross-validation le ditekanyetso tsa maduo jaaka MAE le RMSE.
- Bega dintlha tse di lemogilweng: Tlhama dipego tse di kgatlhang le go sekaseka dipolelelopele tsa tsela ka botswerere.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Tsholetsa tiro ya gago mo go Business Intelligence ka Khoso ya rona ya AI le Machine Learning. Ithute go baakanya data, go akaretsa go e rulaganya, go samagana le boleng jo bo tlogetsweng, le go alafa dintlha tse di kwa thoko. Ithute ka algorithms tse di bonang isagwe jaaka linear regression, ditlhare tsa ditshwetso, le mekgwa e e kwa godimo jaaka random forests. Tokofatsa ditsela ka mekgwa ya ensemble le go tlhabolola hyperparameter. Ithute cross-validation, go kgaoganya data, le ditekanyetso tsa maduo. Tokofatsa bokgoni jwa gago jwa go tlhaloganya maduo le go kwala dipego ka manontlhotlho. Ikopanye le rona jaanong go ithuta ka bokhutshwane le boleng jo bo kwa godimo jo bo diretsweng batho ba BI.
Elevify advantages
Develop skills
- Ithute go phepafatsa data: Samagana le boleng jo bo tlogetsweng le dintlha tse di kwa thoko ka nepagalo.
- Diragatsa algorithms tsa ML: Dirisa linear regression le ditlhare tsa ditshwetso ka botswerere.
- Tokofatsa ditsela: Oketsa maduo ka go tlhabolola hyperparameter le mekgwa ya ensemble.
- Sekaseka nepagalo ya tsela: Dirisa cross-validation le ditekanyetso tsa maduo jaaka MAE le RMSE.
- Bega dintlha tse di lemogilweng: Tlhama dipego tse di kgatlhang le go sekaseka dipolelelopele tsa tsela ka botswerere.
Suggested summary
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