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Introduction to Machine Learning For Data Science Course
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.
- 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.

from 4 to 360h flexible workload
certificate recognized by MEC
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.
Elevify advantages
Develop skills
- 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
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