Analytics And Machine Learning Course
What will I learn?
Simudzira hunyanzvi hwako hweBusiness Intelligence ne Analytics yedu yakadzama ne Machine Learning course. Nyura mukugadzirisa model, kugadzirira data, uye nzira dzekutsvagisa kuitira kuti uwedzere kugona kwako kwekuongorora. Iva nyanzvi mumagaritimusi emuchina wekufungidzira uye woabatanidza zvisingaite mukuongorora kwebhizinesi kuti uwedzere kuita sarudzo dzakangwara. Nezvirimo zvinoshanda, zvemhando yepamusoro, iyi course inokupa simba rekushandura data kuita ruzivo runoshanda, kugadzirisa manejimendi ye inventory uye nekuwedzera mashandiro ekutengesa. Nyoresa izvozvi kuti uzarure kugona kwako.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi mukugadzirisa hyperparameter kuitira kuti model ishande zvakanaka.
Shandisa nzira dzekuchenesa data nekugadzirisa.
Ratidza data ruzivo rwekuitira sarudzo dzemaitiro.
Batanidza kudzidza kwemuchina nekuongorora kwebhizinesi.
Ongorora mamodeli uchishandisa cross-validation uye metics yekushanda.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 will 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.