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Python With Machine Learning Course
Vhurai simba rePython ne machine learning ne course yedu yakarongeka zvakanaka kuitira nyanzvi dzetekinoroji. Nyururirai mukugadzira zvinhu zvitsva (feature engineering), muchinzwisisa kukwidza (scaling), kurongeka (normalization), nekubata misiyano yemhando (categorical variables). Simbisai hunyanzvi hwenyu nemaitiro ekuvandudza modhi (model optimization) akadai sekutsvaga netsaona (random search) nekugadzirisa zvimiro zvinokosha (hyperparameter tuning). Ongororai kwakabva data kubva kuUCI neKaggle, mowana unyanzvi mumagorithimu akadai semasango netsaona (random forests) nemiti yekusarudza (decision trees). Kwidziridzai hunyanzvi hwenyu ne kudzidziswa kunoshanda, kwemhando yepamusoro kwakagadzirirwa kushandiswa chaiko muhupenyu.
- Batsirai kugadzira zvinhu zvitsva: Kwidzai, rongai, mogadzira zvinhu zvitsva zvakavakirwa panguva.
- Vandudzai modhi: Dzidzai kugadzirisa zvimiro zvinokosha (hyperparameter tuning) nemaitiro ekutsvaga ega ega (grid search).
- Tsvagai data nemazvo: Shandisai UCI neKaggle kuwana dataset dzakakodzera.
- Shandisai magorithimu: Ongororai Masango Netsaona (Random Forests), Miti Yekusarudza (Decision Trees), ne Kudzokera Kumutsara (Linear Regression).
- Ongororai modhi: Shandisai MAE, RMSE, nekuparadzanisa data kuti muongorore mashandiro acho.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Vhurai simba rePython ne machine learning ne course yedu yakarongeka zvakanaka kuitira nyanzvi dzetekinoroji. Nyururirai mukugadzira zvinhu zvitsva (feature engineering), muchinzwisisa kukwidza (scaling), kurongeka (normalization), nekubata misiyano yemhando (categorical variables). Simbisai hunyanzvi hwenyu nemaitiro ekuvandudza modhi (model optimization) akadai sekutsvaga netsaona (random search) nekugadzirisa zvimiro zvinokosha (hyperparameter tuning). Ongororai kwakabva data kubva kuUCI neKaggle, mowana unyanzvi mumagorithimu akadai semasango netsaona (random forests) nemiti yekusarudza (decision trees). Kwidziridzai hunyanzvi hwenyu ne kudzidziswa kunoshanda, kwemhando yepamusoro kwakagadzirirwa kushandiswa chaiko muhupenyu.
Elevify advantages
Develop skills
- Batsirai kugadzira zvinhu zvitsva: Kwidzai, rongai, mogadzira zvinhu zvitsva zvakavakirwa panguva.
- Vandudzai modhi: Dzidzai kugadzirisa zvimiro zvinokosha (hyperparameter tuning) nemaitiro ekutsvaga ega ega (grid search).
- Tsvagai data nemazvo: Shandisai UCI neKaggle kuwana dataset dzakakodzera.
- Shandisai magorithimu: Ongororai Masango Netsaona (Random Forests), Miti Yekusarudza (Decision Trees), ne Kudzokera Kumutsara (Linear Regression).
- Ongororai modhi: Shandisai MAE, RMSE, nekuparadzanisa data kuti muongorore mashandiro acho.
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