Machine Learning Course
What will I learn?
Notlolla matla a boithuto ba mochini ka khoaso ea rona e felletseng e etselitsoeng litsebi tsa theknoloji. Kena ka ho bokella le ho hlahloba data u sebelisa Pandas le NumPy, ithute maqheka a ho arola dataset, 'me u hlahlobe mefuta ka nepo. Ithute mekhoa ea bohlokoa ea ho lokisa data, hlahloba khetho e tsoetseng pele ea mefuta, 'me u fumane leseli ka mefuta ea regression joalo ka lifate tsa liqeto le Meru e sa Reriloeng. Ntlafatsa tsebo ea hau ka litaba tse sebetsang, tsa boleng bo holimo tse netefatsang hore u se u loketse ho sebetsana le mathata a nnete a lefats'e. Kena hona joale 'me u fetole mosebetsi oa hau!
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Tseba ho sebetsana le data: Kenya, hlahloba, 'me u khethe li-dataset ka Pandas le NumPy.
Kenya tšebetsong ho aroloa ha dataset: Sebelisa mekhoa ea cross-validation le stratified sampling.
Hlahloba ts'ebetso ea mohlala: Utloisisa metrics ea MAE, MSE, le R-squared.
Lokisa data ka katleho: Sebetsana le litekanyetso tse sieo 'me u ngole mefuta e fapaneng.
Ntlafatsa mefuta: Fetola li-hyperparameter 'me u sebelise mekhoa ea kopano.
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.