Deep Learning With Python Course
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.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
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
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You'll be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.