Data Science And Machine Learning Course
What will I learn?
Ntshetsa pele mosebetsi wa hao wa Boitsebelo ba Khoebo ka Data Science le Machine Learning Course ya rona. Iponele bokgoni bo sebetsang ba ho kenya tshebetsong mehlala, ho netefatsa scalability le kopanyo e se nang bothata diphaepheng. Ithute botsebi ba tlaleho e atlehang ka ho akaretsa diphumano, ho bontsha temohisiso ya data, le ho qapa ditshisinyo tse hlakileng. Kena ka hara tshekatsheko ya data e hlahlobang, ho lokisa data, le ho bolela esale pele letoto la dinako le ARIMA le Moprofeta. Ntlafatsa boitsebelo ba hao ba ho kwetlisa mehlala, tlhahlobo, le ho lokisa di-parameter bakeng sa nepo e nepahetseng. Kena hona jwale ho fetola data hore e be bohlale bo ka sebediswang.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Tseba botsebi ba ho kenya tshebetsong mohlala: Netefatsa scalability le kopanyo e se nang bothata diphaepheng.
Fana ka temohisiso: Bontsha data ka mahlo mme o qape ditshisinyo tse hlakileng, tse ka sebediswang.
Etsa EDA: Sekaseka mekgwa, dipapatso, le kgokahano ka bokgabane.
Lokisa data esale pele: Sebetsana le boleng bo haellang mme o etse dikarolo bakeng sa letoto la dinako.
Bolela esale pele ka nepo: Sebedisa ARIMA le Moprofeta bakeng sa ditshisinyo tse nepahetseng.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to 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 provides practical and relevant knowledge for your career.