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AI Specialist Course
Ntlafatsa mosebetsi oa hao ka Kooso ea rona ea Litsebi tsa AI, e etselitsoeng litsebi tsa theknoloji tse labalabelang ho tseba lintlha tsa bohlokoa tsa bohlale ba maiketsetso. Kena ka har'a pokello le boitokisetso ba data, ithute ho sebetsana le data e sieo, 'me u sebelise mekhoa ea normalization. Fumana boiphihlelo ho metrics tsa tlhahlobo ea mohlala tse kang MAE le R-squared, 'me u ntlafatse tsebo ea hau ea koetliso ea mohlala le hyperparameter tuning u sebelisa Scikit-Learn. Hlahloba li-algorithms tsa ho ithuta mochini tse kang lifate tsa liqeto le meru e sa reroang, 'me u ntlafatse bokhoni ba hau ba litokomane le tlaleho. Ikopanye le rona ho fetola tsebo ea hau ea AI kajeno!
- Tseba pokello ea data: Tseba 'me u lokise li-dataset tse loketseng ka katleho.
- Ntlafatsa mehlala: Koetlisa 'me u lokise mehlala u sebelisa mekhoa ea Scikit-Learn.
- Hlahloba ts'ebetso: Sekaseka mehlala ka metrics ea MAE, R-squared le MSE.
- Kenya tšebetsong li-algorithms: Sebelisa lifate tsa liqeto, linear regression le meru e sa reroang.
- Ngola lintlha: Theha litlaleho tse felletseng tsa tekheniki le litlhahiso.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Ntlafatsa mosebetsi oa hao ka Kooso ea rona ea Litsebi tsa AI, e etselitsoeng litsebi tsa theknoloji tse labalabelang ho tseba lintlha tsa bohlokoa tsa bohlale ba maiketsetso. Kena ka har'a pokello le boitokisetso ba data, ithute ho sebetsana le data e sieo, 'me u sebelise mekhoa ea normalization. Fumana boiphihlelo ho metrics tsa tlhahlobo ea mohlala tse kang MAE le R-squared, 'me u ntlafatse tsebo ea hau ea koetliso ea mohlala le hyperparameter tuning u sebelisa Scikit-Learn. Hlahloba li-algorithms tsa ho ithuta mochini tse kang lifate tsa liqeto le meru e sa reroang, 'me u ntlafatse bokhoni ba hau ba litokomane le tlaleho. Ikopanye le rona ho fetola tsebo ea hau ea AI kajeno!
Elevify advantages
Develop skills
- Tseba pokello ea data: Tseba 'me u lokise li-dataset tse loketseng ka katleho.
- Ntlafatsa mehlala: Koetlisa 'me u lokise mehlala u sebelisa mekhoa ea Scikit-Learn.
- Hlahloba ts'ebetso: Sekaseka mehlala ka metrics ea MAE, R-squared le MSE.
- Kenya tšebetsong li-algorithms: Sebelisa lifate tsa liqeto, linear regression le meru e sa reroang.
- Ngola lintlha: Theha litlaleho tse felletseng tsa tekheniki le litlhahiso.
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