Python And Machine Learning Course
What will I learn?
Fungua obusobozi bwa Python ne Machine Learning n'ekibiina kyaffe ekinene ekikoleddwa butereevu eri abakozi mu tekinologiya. Yingira mu nkola za feature engineering, yiga obulungi okutendeka model n'okuzipima, era weekebeeze okukuba ebifaananyi by'ebyo ebiriwo nga okukozesa Matplotlib. Yiga enkola z'okukungaanya data, n'engeri z'okugitereeza, n'engeri z'okulonda model. Yongera ku bumanyirivu bwo n'enkola ezikuyamba okukyusa model zibe nga nnungi, okuli okukendeeza ku hyperparameter n'okukozesa cross-validation. Ekibiina kino kikuweereza ebintu ebikola era ebyomugaso okukuwa omulimu omulungi mu by'ekikugu.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Yiga obulungi feature engineering: Kola era okendeeze data features eri model.
Pima model: Kozesa metrics n'engeri endala okukakasa obulungi bwa model.
Kola okunoonyereza ku data: Kuba ebifaananyi era olabe ebintu ebiriwo nga okukozesa Matplotlib.
Tereeza data: Longoosa, yongera amaanyi, era okwate data ennabuzabuza mu ngeri entuufu.
Kyusa algorithms: Kendeeza ku hyperparameters okufuna model ennungi ddala.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like 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 offers practical and relevant knowledge for your professional journey.