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Machine Learning r Course
Ithute ka botlalo ka thata ya machine learning ka Thuto ya rona ya Machine Learning ka R, e diretsweng bomankge ba dipalo. Ithute go lotolotsa data, o itsenye mo ditseleng tse di tshwanang le go kgaoganya data, go lekanya dipopego, le go fetola dipopego tse di farologaneng. Oketsa bokgoni jwa gago jwa go tshwara data, go sekaseka data, le go baakanya modiri. Ithute go dirisa ditsela tse di tshwanang le Random Forests le Linear Regression, mme o sekaseke didirisiwa o dirisa cross-validation le dipalo tse di tshwanang le R-squared. Godisa bokgoni jwa gago ka dilo tse di mosola, tsa maemo a a kwa godimo tse di diretsweng go dirisiwa mo botshelong jwa letsatsi le letsatsi.
- Itseng go lotolotsa data: Kgaoganya, lekanya, mme o fetole data ka bonako.
- Phepafatsa mme o tshware data: Laya, tlhatlhoba, mme o laole boleng jo bo tlogetsweng mo R.
- Dira EDA: Bona ditshupo le go lemoga dilo tse di sa tlwaelegang sentle.
- Baakanya didirisiwa: Tokafatasa ditsela ka go baakanya di-hyperparameter.
- Sekaseka didirisiwa: Dirisa cross-validation mme o tlhaloganye dipalo tsa tswelelopele.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Ithute ka botlalo ka thata ya machine learning ka Thuto ya rona ya Machine Learning ka R, e diretsweng bomankge ba dipalo. Ithute go lotolotsa data, o itsenye mo ditseleng tse di tshwanang le go kgaoganya data, go lekanya dipopego, le go fetola dipopego tse di farologaneng. Oketsa bokgoni jwa gago jwa go tshwara data, go sekaseka data, le go baakanya modiri. Ithute go dirisa ditsela tse di tshwanang le Random Forests le Linear Regression, mme o sekaseke didirisiwa o dirisa cross-validation le dipalo tse di tshwanang le R-squared. Godisa bokgoni jwa gago ka dilo tse di mosola, tsa maemo a a kwa godimo tse di diretsweng go dirisiwa mo botshelong jwa letsatsi le letsatsi.
Elevify advantages
Develop skills
- Itseng go lotolotsa data: Kgaoganya, lekanya, mme o fetole data ka bonako.
- Phepafatsa mme o tshware data: Laya, tlhatlhoba, mme o laole boleng jo bo tlogetsweng mo R.
- Dira EDA: Bona ditshupo le go lemoga dilo tse di sa tlwaelegang sentle.
- Baakanya didirisiwa: Tokafatasa ditsela ka go baakanya di-hyperparameter.
- Sekaseka didirisiwa: Dirisa cross-validation mme o tlhaloganye dipalo tsa tswelelopele.
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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