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Deep Learning With Python Course
Fungua amaanyi ga deep learning nga tukozesa course yaffe eya Python, eyakolebwa butereevu ku ba Business Intelligence professionals. Yinga mu kutendeka model n’okugilooleesa, ng’okozesa performance metrics nga MAE ne RMSE. Yongera ku bumanyirivu bwo nga weekozesa tekiniki z’okulongoosa model, nga muno mulimu cross-validation ne hyperparameter tuning. Noonyereza ku data nga weekozesa advanced exploration ne preprocessing methods. Zimba models ez’amaanyi nga weekozesa TensorFlow ne PyTorch, era owandiike ebintu byo by’oyize mu ngeri entuufu. Kwata BI expertise yo waggulu nga weekozesa okuyiga okw’omugaso era okwa high-quality.
- Manyi bulungi okulooleesa model: Yiga MAE, RMSE, ne data splitting techniques.
- Longoosa models: Noonyereza ku cross-validation ne hyperparameter tuning.
- Kola deep learning models: Kozesa TensorFlow ne PyTorch mu ngeri entuufu.
- Yongera ku data exploration: Zuula anomalies era otegeere data structures.
- Wandiika mu ngeri entuufu: Wandiika reports ezitegeerekeka era ogabane ebintu by’oyize mu bwangu.
flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Fungua amaanyi ga deep learning nga tukozesa course yaffe eya Python, eyakolebwa butereevu ku ba Business Intelligence professionals. Yinga mu kutendeka model n’okugilooleesa, ng’okozesa performance metrics nga MAE ne RMSE. Yongera ku bumanyirivu bwo nga weekozesa tekiniki z’okulongoosa model, nga muno mulimu cross-validation ne hyperparameter tuning. Noonyereza ku data nga weekozesa advanced exploration ne preprocessing methods. Zimba models ez’amaanyi nga weekozesa TensorFlow ne PyTorch, era owandiike ebintu byo by’oyize mu ngeri entuufu. Kwata BI expertise yo waggulu nga weekozesa okuyiga okw’omugaso era okwa high-quality.
Elevify advantages
Develop skills
- Manyi bulungi okulooleesa model: Yiga MAE, RMSE, ne data splitting techniques.
- Longoosa models: Noonyereza ku cross-validation ne hyperparameter tuning.
- Kola deep learning models: Kozesa TensorFlow ne PyTorch mu ngeri entuufu.
- Yongera ku data exploration: Zuula anomalies era otegeere data structures.
- Wandiika mu ngeri entuufu: Wandiika reports ezitegeerekeka era ogabane ebintu by’oyize mu bwangu.
Suggested summary
Before starting, you can change the chapters and 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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