Introduction to Machine Learning For Data Science Course
What will I learn?
Notlolla matla a data ka thupelo ea rona ea \"Tsenyo ho Boitsebelo ba Mochini bakeng sa Thuto ea Data Science,\" e etselitsoeng litsebi tsa Bohlale ba Khoebo. Kena ka hare ho lihlooho tsa bohlokoa tse kang tlhahiso ea data, boenjiniere ba likarolo, le koetliso ea mohlala. Tseba li-algorithm tse tsoetseng pele tse kang Meru e sa Reroang le Khothaletso ea Boemo ba Holimo bakeng sa ponelopele ea thekiso. Ithute ho ntlafatsa mefuta ka ho lokisa li-hyperparameter le ho li lekola u sebelisa metrics tse kang MAE le RMSE. Phahamisa boiphihlelo ba hau ba BI ka lintlha tse sebetsang, tsa boleng bo holimo tse khothaletsang katleho ea khoebo.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Tseba ho hloekisa data: Netefatsa nepo ka ho tlosa ho se lumellane le liphoso.
Ntlafatsa boenjiniere ba likarolo: Theha likarolo tse susumetsang bakeng sa ts'ebetso e ntle ea mohlala.
Ntlafatsa mefuta: Ntlafatsa nepo ka ho lokisa li-hyperparameter le papiso ea algorithm.
Bona lintlha tsa data: Sebelisa lisebelisoa tsa pono ho senola lintlha tse ka sebelisoang.
Hlahloba mefuta: Lekanya katleho ka metrics tse kang MAE le RMSE.
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.