Feature Engineering Course
What will I learn?
Open up the power ssaawa yo data ne Feature Engineering Gyenvudde Course yaffe, egenderedwamu aba engineer abakugu abeesiga okwongera ku bukugu bwabwe mu predictive modeling. Yinga mu tekiniki ez’omulembe nga okukola ku categorical variables, time-based engineering, ne dimensionality reduction. Funa obukugu mu kunoonyereza ku dataset, okutondawo features, n’okuwandiika ebikwata ku byo. Yiga engeri gy’oyinza okubikozesaamu mu Python, Pandas, ne Scikit-learn. Kebera omuganyulo gwa feature ku model performance era osale amagezi agasinziira ku data nga oli mukakafu. Wegatte kati okukyusaamu ebikwata ku data yo!
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Funa obukugu mu kukolagana ne categorical variable okukola robust data models.
Teeka mu nkola time-based feature engineering okufuna dynamic insights.
Kozesa dimensionality reduction okwongera ku model efficiency.
Kola strategies ez’enkolagana ya feature okusobola okutuuka ku predictive accuracy.
Kozesa library za Python okukola feature engineering mu ngeri ennungi.
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.