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Deep Learning With Python Course
Dis kuos ya weh wi mek special fi Bizniz Intelijens piple dem, a go mek unu unlock di powa a dip learning wid Python. Unu a go dive inna model training ahn evalyuashan, ahn mos op di perfamans metricks dem like MAE ahn RMSE. Unu a go get betta wid unu model aptimizaishan tekniks, likkle bit a kraas-validieshan ahn haipa-paramita tyuning. Unu a go ekspluor di data wid advans eksplorieshan ahn priprosesin metods. Bilid rabas model dem yuh using TensorFlow ahn PyTorch, ahn rait dong unu aal unu insait dem gud-gud. Mek unu BI ekspertiz betta wid praktikal, top-notch lornin.
- Mos op model evalyuashan: Lorn MAE, RMSE, ahn how fi split op di data.
- Aptimaiz model dem: Ekspluor kraas-validieshan ahn haipa-paramita tyuning.
- Divelop dip learning model dem: Yuz TensorFlow ahn PyTorch gud-gud.
- Mek data eksplorieshan betta: Aidentifai anomili dem ahn andastan how di data set op.
- Rait dong tings gud: Rait kliya riport ahn shair insait dem kwik-kwik.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Dis kuos ya weh wi mek special fi Bizniz Intelijens piple dem, a go mek unu unlock di powa a dip learning wid Python. Unu a go dive inna model training ahn evalyuashan, ahn mos op di perfamans metricks dem like MAE ahn RMSE. Unu a go get betta wid unu model aptimizaishan tekniks, likkle bit a kraas-validieshan ahn haipa-paramita tyuning. Unu a go ekspluor di data wid advans eksplorieshan ahn priprosesin metods. Bilid rabas model dem yuh using TensorFlow ahn PyTorch, ahn rait dong unu aal unu insait dem gud-gud. Mek unu BI ekspertiz betta wid praktikal, top-notch lornin.
Elevify advantages
Develop skills
- Mos op model evalyuashan: Lorn MAE, RMSE, ahn how fi split op di data.
- Aptimaiz model dem: Ekspluor kraas-validieshan ahn haipa-paramita tyuning.
- Divelop dip learning model dem: Yuz TensorFlow ahn PyTorch gud-gud.
- Mek data eksplorieshan betta: Aidentifai anomili dem ahn andastan how di data set op.
- Rait dong tings gud: Rait kliya riport ahn shair insait dem kwik-kwik.
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 are saying
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