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AI And Machine Learning Course
Boost your Business Intelligence career ka AI le Machine Learning Course ea rona. Itšoare hantle litokisetsong tsa data, ho kenyeletsoa formatting, ho sebetsana le litekanyetso tse sieo, le kalafo ea bo-ntja-molora. Qala ka li-algorithms tse bolelang esale pele joalo ka linear regression, lifate tsa liqeto, le mekhoa e tsoetseng pele joalo ka meru e sa reroang. Ntlafatsa mefuta ka mekhoa ea kopano le hyperparameter tuning. Ithute cross-validation, karohano ea data, le metric tsa tšebetso. Ntlafatsa tsebo ea hau ea ho toloka liphetho le ho ngola litlaleho tse sebetsang. Kena hona joale bakeng sa thuto e khutšoanyane, ea boleng bo holimo e etselitsoeng litsebi tsa BI.
- Master data cleaning: Sebetsana le litekanyetso tse sieo le bo-ntja-molora ka nepo.
- Implement ML algorithms: Sebelisa linear regression le lifate tsa liqeto ka katleho.
- Optimize models: Ntlafatsa tšebetso ka hyperparameter tuning le mekhoa ea kopano.
- Evaluate model accuracy: Sebelisa cross-validation le metric tsa tšebetso joalo ka MAE le RMSE.
- Report insights: Etsa litlaleho tse qobellang 'me u hlahlobe likhakanyo tsa mohlala ka kholiseho.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your Business Intelligence career ka AI le Machine Learning Course ea rona. Itšoare hantle litokisetsong tsa data, ho kenyeletsoa formatting, ho sebetsana le litekanyetso tse sieo, le kalafo ea bo-ntja-molora. Qala ka li-algorithms tse bolelang esale pele joalo ka linear regression, lifate tsa liqeto, le mekhoa e tsoetseng pele joalo ka meru e sa reroang. Ntlafatsa mefuta ka mekhoa ea kopano le hyperparameter tuning. Ithute cross-validation, karohano ea data, le metric tsa tšebetso. Ntlafatsa tsebo ea hau ea ho toloka liphetho le ho ngola litlaleho tse sebetsang. Kena hona joale bakeng sa thuto e khutšoanyane, ea boleng bo holimo e etselitsoeng litsebi tsa BI.
Elevify advantages
Develop skills
- Master data cleaning: Sebetsana le litekanyetso tse sieo le bo-ntja-molora ka nepo.
- Implement ML algorithms: Sebelisa linear regression le lifate tsa liqeto ka katleho.
- Optimize models: Ntlafatsa tšebetso ka hyperparameter tuning le mekhoa ea kopano.
- Evaluate model accuracy: Sebelisa cross-validation le metric tsa tšebetso joalo ka MAE le RMSE.
- Report insights: Etsa litlaleho tse qobellang 'me u hlahlobe likhakanyo tsa mohlala ka kholiseho.
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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