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Python With Machine Learning Course
Ithute ka botlalo ka maatla a Python le machine learning ka thuto ya rona e e tseneletseng, e e diretsweng ditswerere tsa boranyane jwa dikhomputara. Ithute ka botlalo go dirisa dipopego tsa data, go laola tekanyo, go tlwaetsa, le go samagana le dipharologanyo tsa dikarolo. Nonotsha bokgoni jwa gago ka mekgwa ya go tokafatsa ditsamaiso jaaka random search le hyperparameter tuning. Batlisisa kwa data e tswang teng go tswa mo UCI le Kaggle, mme o nne le bokgoni mo ditsamaisong tse di jaaka random forests le decision trees. Oketsa botswerere jwa gago ka thupelo e e mosola, e e maemong a a kwa godimo e e diretsweng tiriso ya mmatota.
- Ithute go dirisa dipopego tsa data: Sekala, tlwaetsa, mme o dire dipopego tse di ikaegileng ka nako.
- Tokafatso ya ditsamaiso: Ithute go lekalekanya di-hyperparameter le mekgwa ya go batlisisa ka grid.
- Go batla data ka bokgabane: Dirisa UCI le Kaggle go bona data sets tse di maleba.
- Diragatsa ditsamaiso: Batlisisa Random Forests, Decision Trees, le Linear Regression.
- Sekaseka ditsamaiso: Dirisa MAE, RMSE, le go kgaoganya data go sekaseka tiragatso.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Ithute ka botlalo ka maatla a Python le machine learning ka thuto ya rona e e tseneletseng, e e diretsweng ditswerere tsa boranyane jwa dikhomputara. Ithute ka botlalo go dirisa dipopego tsa data, go laola tekanyo, go tlwaetsa, le go samagana le dipharologanyo tsa dikarolo. Nonotsha bokgoni jwa gago ka mekgwa ya go tokafatsa ditsamaiso jaaka random search le hyperparameter tuning. Batlisisa kwa data e tswang teng go tswa mo UCI le Kaggle, mme o nne le bokgoni mo ditsamaisong tse di jaaka random forests le decision trees. Oketsa botswerere jwa gago ka thupelo e e mosola, e e maemong a a kwa godimo e e diretsweng tiriso ya mmatota.
Elevify advantages
Develop skills
- Ithute go dirisa dipopego tsa data: Sekala, tlwaetsa, mme o dire dipopego tse di ikaegileng ka nako.
- Tokafatso ya ditsamaiso: Ithute go lekalekanya di-hyperparameter le mekgwa ya go batlisisa ka grid.
- Go batla data ka bokgabane: Dirisa UCI le Kaggle go bona data sets tse di maleba.
- Diragatsa ditsamaiso: Batlisisa Random Forests, Decision Trees, le Linear Regression.
- Sekaseka ditsamaiso: Dirisa MAE, RMSE, le go kgaoganya data go sekaseka tiragatso.
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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