Artificial Intelligence And Machine Learning Course
What will I learn?
Simudzira hunyanzvi hwako hweBusiness Intelligence ne Artificial Intelligence ne Machine Learning Course yedu. Nyura mukugadzirira data, uchinyatsoziva nzira dzakadai sekunatsurudza (normalizing) maitiro enhamba nekunyorera (encoding) misiyano yezvikamu. Vhura kugona kweku fungidzira ramangwana ne linear regression, miti yezvisarudzo, uye nzira dzepamberi dzakadai semasango asina kurongeka. Dzidza kubatanidza mapaipi edata, tarisa mamodeli, uye gadzirisa mashandiro uchishandisa MAE ne RMSE metrics. Wedzera hunyanzvi mukuratidzira mhedzisiro nekugadzira mishumo yakazara, zvese zvakagadzirirwa kudzidza kunoshanda, kwemhando yepamusoro.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Batsira pakubatana kwedata: Batanidza nekugadzirisa mapaipi edata zvakanaka.
Simudzira kurongeka kwemuenzaniso: Gadzirisa mashandiro ne advanced evaluation metrics.
Funga nezveramangwana nekurongeka: Shandisa regression uye advanced machine learning models.
Ratidza nzwisiso: Gadzira zviratidziro zvinokwezva zvedata nemishumo.
Injiniya maficha: Gadzira maficha akasimba enguva dzinoenderana eku fungidzira zviri nani.
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.