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Machine Learning r Course
Komot di pawa fo mashin learning wit wi ful Machine Learning R Kos, weh wi mek spesho fo statistik pepo dem. Go dip insai data fiks-fiks, fo sabi how fo split data, chenj di data big-big, an fo put nomba pan tin weh no get nomba. Mek yu skil strong pan how fo wok wit data, fo luk data well-well fo si how i be, an fo mek model fain. Lan how fo yuz tin lek Random Forests an Linear Regression, an fo test model yuzin cross-validation an makin lek R-squared. Mek yu sabi go op wit wok weh beta, wit wok weh dey beta fo rial wok.
- Sabi data fiks-fiks: Split, chenj, an put nomba pan data quick-quick.
- Klin an ol data: Tek data komot, luk data well-well, an tek kia fo data weh no dey komplit insai R.
- Du EDA: Si di data dem de go hau an si tin weh no dey rite.
- Mek model fain: Chenj di model dem wit beta nomba dem.
- Test model dem: Yuz cross-validation an sabi di ansa dem.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Komot di pawa fo mashin learning wit wi ful Machine Learning R Kos, weh wi mek spesho fo statistik pepo dem. Go dip insai data fiks-fiks, fo sabi how fo split data, chenj di data big-big, an fo put nomba pan tin weh no get nomba. Mek yu skil strong pan how fo wok wit data, fo luk data well-well fo si how i be, an fo mek model fain. Lan how fo yuz tin lek Random Forests an Linear Regression, an fo test model yuzin cross-validation an makin lek R-squared. Mek yu sabi go op wit wok weh beta, wit wok weh dey beta fo rial wok.
Elevify advantages
Develop skills
- Sabi data fiks-fiks: Split, chenj, an put nomba pan data quick-quick.
- Klin an ol data: Tek data komot, luk data well-well, an tek kia fo data weh no dey komplit insai R.
- Du EDA: Si di data dem de go hau an si tin weh no dey rite.
- Mek model fain: Chenj di model dem wit beta nomba dem.
- Test model dem: Yuz cross-validation an sabi di ansa dem.
Suggested summary
Before starting, you can change the chapters and 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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