Machine Learning Python Course
What will I learn?
Notlolla matla a data ka Thupelo ea rona ea Machine Learning ka Python, e etselitsoeng litsebi tsa Bohlale ba Khoebo (Business Intelligence). Kena ka botebo tlhahlobong le tlhahlobisisong ea data, ithute mekhoa ea pele ea ho lokisa data, 'me u sebelise bokhoni ba li-algorithm tsa machine learning tse kang linear regression le lifate tsa liqeto (decision trees). Ithute boenjineri ba likarolo (feature engineering), koetliso ea mohlala (model training), le tlhahlobo, 'me u ntlafatse mehlala ea hau ka ho lokisa li-hyperparameter (hyperparameter tuning). Qetella ka ts'ebetso ea mohlala (model deployment) le litokomane, ho netefatsa hore tsebo ea hau e se e loketse ts'ebeliso ea 'nete ea lefats'e. Ikopanye le rona hona joale ho phahamisa tsebo ea hau ea BI!
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Ithute ka botlalo ts'ebetso ea mohlala: Boloka, kenya le ho ngola litokomane tsa mehlala bakeng sa kopanyo e se nang moeli.
Ntlafatsa boenjineri ba likarolo: Theha likarolo tsa tšebelisano le ho ntša lintlha tsa bohlokoa tsa letsatsi.
Ntlafatsa koetliso ea mohlala: Kenya tšebetsong likarohano tsa koetliso-teko (train-test splits) 'me u hlahlobe ka metrics.
Hlahloba data ka katleho: Sekaseka meaho ea data 'me u kenye li-dataset u sebelisa Pandas.
Hloekisa tsebo ea ho lokisa data esale pele: Tloaetsa, lekanya le ho ngola data ea sehlopha ka nepo.
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.