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AI And Machinelearning Course
Boost up yuh Business Intelligence kriya widi wi AI an' Machine Learning Kuos, design fi prafeshnal dem weh a look fi practical, top-class lanin'. Master fi chuz feature dem, pripyaa data, an' mek model dem betta. Get yuh han' dirty widi big framework like PyTorch, Scikit-learn, an' TensorFlow. Larn fi write dung an' talk 'bout projek dem gud-gud, so evribadi undastan di data. Dis kuos a go give yuh di power fi mek model work betta an' mek decision base on di data widi confidence.
- Master fi chuz feature dem: Mek di data betta widi less dimension an' correlation.
- Mek data pripyaa betta: Deal widi missing data an' put categorical variable dem inna code.
- Yuz ML framework dem: Bil model dem widi PyTorch, Scikit-learn, an' TensorFlow.
- Mek model dem work betta: Mek performance betta by twik di hyperparameter dem an' do experiment.
- Write dung projek dem: Kriet full report an' explain how model dem evaluate.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Boost up yuh Business Intelligence kriya widi wi AI an' Machine Learning Kuos, design fi prafeshnal dem weh a look fi practical, top-class lanin'. Master fi chuz feature dem, pripyaa data, an' mek model dem betta. Get yuh han' dirty widi big framework like PyTorch, Scikit-learn, an' TensorFlow. Larn fi write dung an' talk 'bout projek dem gud-gud, so evribadi undastan di data. Dis kuos a go give yuh di power fi mek model work betta an' mek decision base on di data widi confidence.
Elevify advantages
Develop skills
- Master fi chuz feature dem: Mek di data betta widi less dimension an' correlation.
- Mek data pripyaa betta: Deal widi missing data an' put categorical variable dem inna code.
- Yuz ML framework dem: Bil model dem widi PyTorch, Scikit-learn, an' TensorFlow.
- Mek model dem work betta: Mek performance betta by twik di hyperparameter dem an' do experiment.
- Write dung projek dem: Kriet full report an' explain how model dem evaluate.
Suggested summary
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