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AI And Machine Learning Course
Gimula obwongo bwo mu Business Intelligence nga tukozesa AI ne Machine Learning Course yaffe. Yiga okuteekateeka data obulungi, nga mwemuli okugiwa format, okukwatagana ne data ebulako, n'okulongoosa ebitagasa. Yingira mu predictive algorithms nga linear regression, decision trees, ne methods ezikulaakulanye nga random forests. Longoose models nga okoteseza ensemble methods ne hyperparameter tuning. Yiga cross-validation, data splitting, ne performance metrics. Yongera ku bumanyirivu bwo mu kwanonoola ebivaamu n'okuwandika lipooti ennungi. Wegatte kati ofune okuyiga okumpi era okwa quality ey'omutindo ogwa waggulu okukolebwamu aba BI professionals.
- Yiga okuyonja data: Lwanyisa data ebulako n'ebitakola mulimu nga bucwerefu.
- Kosa ML algorithms: Kosesa linear regression ne decision trees nga bulungi.
- Longoose models: Yongera ku performance nga okoteseza hyperparameter tuning ne ensemble methods.
- Kebera obutuufu bwa model: Kosesa cross-validation ne performance metrics nga MAE ne RMSE.
- Wandika lipooti ezirimu obubaka: Kola lipooti ezisikiriza era okekambise model predictions nga mazima.
flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Gimula obwongo bwo mu Business Intelligence nga tukozesa AI ne Machine Learning Course yaffe. Yiga okuteekateeka data obulungi, nga mwemuli okugiwa format, okukwatagana ne data ebulako, n'okulongoosa ebitagasa. Yingira mu predictive algorithms nga linear regression, decision trees, ne methods ezikulaakulanye nga random forests. Longoose models nga okoteseza ensemble methods ne hyperparameter tuning. Yiga cross-validation, data splitting, ne performance metrics. Yongera ku bumanyirivu bwo mu kwanonoola ebivaamu n'okuwandika lipooti ennungi. Wegatte kati ofune okuyiga okumpi era okwa quality ey'omutindo ogwa waggulu okukolebwamu aba BI professionals.
Elevify advantages
Develop skills
- Yiga okuyonja data: Lwanyisa data ebulako n'ebitakola mulimu nga bucwerefu.
- Kosa ML algorithms: Kosesa linear regression ne decision trees nga bulungi.
- Longoose models: Yongera ku performance nga okoteseza hyperparameter tuning ne ensemble methods.
- Kebera obutuufu bwa model: Kosesa cross-validation ne performance metrics nga MAE ne RMSE.
- Wandika lipooti ezirimu obubaka: Kola lipooti ezisikiriza era okekambise model predictions nga mazima.
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