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Introduction to Machine Learning For Data Science Course
Ggulawo amaanyi g'ebyaama ebiri mu data n'ekibiina kyaffe ekiyitibwa 'Ebigambo Ebikulu mu Machine Learning ku Bwa Data Science', ekyakolebwa butereevu ku lw'abakugu mu Business Intelligence. Tambula mu masomo ag'omugaso nga okutereeza data, n'engeri y'okukola ebipya ebiri mu data, n'okutendeka model. Yiga algorithms ez'amaanyi nga Random Forests ne Gradient Boosting ku lw'okulagula ebitundwa. Yiga okutereeza models nga oyita mu hyperparameter tuning n'okuzipima nga okukozesa metrics nga MAE ne RMSE. Yongera amaanyi ku bubingwa bwo n'ebintu ebigasa, eby'omulembe ebijja okukulembera obusuubuzi bwo.
- Yiga okuyonja data: Kakasa obutuufu ng'oggyawo ebintu ebitali by'omu ne nsobi.
- Longoose engeri y'okukola ebipya ebiri mu data: Kola ebintu ebikola obulungi okusobola okutereeza model yo.
- Tereeza models: Yongera obutuufu nga okukozesa hyperparameter tuning n'okugeraageranya algorithms.
- Laga ebintu ebyama ebiri mu data: Kozesa ebikozesebwa ebiraga ebintu okulaga ebintu ebyama ebikola.
- Pima models: Pima obuwanguzi nga okukozesa metrics nga MAE ne RMSE.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Ggulawo amaanyi g'ebyaama ebiri mu data n'ekibiina kyaffe ekiyitibwa 'Ebigambo Ebikulu mu Machine Learning ku Bwa Data Science', ekyakolebwa butereevu ku lw'abakugu mu Business Intelligence. Tambula mu masomo ag'omugaso nga okutereeza data, n'engeri y'okukola ebipya ebiri mu data, n'okutendeka model. Yiga algorithms ez'amaanyi nga Random Forests ne Gradient Boosting ku lw'okulagula ebitundwa. Yiga okutereeza models nga oyita mu hyperparameter tuning n'okuzipima nga okukozesa metrics nga MAE ne RMSE. Yongera amaanyi ku bubingwa bwo n'ebintu ebigasa, eby'omulembe ebijja okukulembera obusuubuzi bwo.
Elevify advantages
Develop skills
- Yiga okuyonja data: Kakasa obutuufu ng'oggyawo ebintu ebitali by'omu ne nsobi.
- Longoose engeri y'okukola ebipya ebiri mu data: Kola ebintu ebikola obulungi okusobola okutereeza model yo.
- Tereeza models: Yongera obutuufu nga okukozesa hyperparameter tuning n'okugeraageranya algorithms.
- Laga ebintu ebyama ebiri mu data: Kozesa ebikozesebwa ebiraga ebintu okulaga ebintu ebyama ebikola.
- Pima models: Pima obuwanguzi nga okukozesa metrics nga MAE ne RMSE.
Suggested summary
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