Feature Engineering Course
What will I learn?
Open your eye to the power wey dey inside data through our Feature Engineering Lessons. E be designed for engineering professionals wey dey hungry to make their predictive modeling skills better. Enter inside advanced methods like how to manage categorical variables, time-based engineering, and how to reduce plenty features to make am simple. Become master for exploring dataset, creating features, and writing down everything wey you do. Learn how to use am for real-life things with Python, Pandas, and Scikit-learn. Check how features dey affect model performance and make decisions based on data with confidence. Join now so you go change how you dey see data!
Develop skills
Enhance the development of the practical skills listed below
Become proper master for how to handle categorical variables so you go get strong data models.
Use time-based feature engineering so you go get correct insights wey dey change with time.
Apply dimensionality reduction so you go make your model work fast and efficient.
Develop ways to make features work together so you go predict things correct.
Use Python libraries so you go engineer features proper.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at 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.