Feature Engineering Course
What will I learn?
Unlock the power of data with our Feature Engineering Course, designed for engineering professionals keen to boost their predictive modelling skills. Dive into advanced techniques like handling categorical variables, time-based engineering, and dimensionality reduction. Master dataset exploration, feature creation, and documentation. Learn practical applications using Python, Pandas, and Scikit-learn. Evaluate feature impact on model performance and make data-driven decisions with confidence. Join now to transform your data insights!
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master categorical variable handling for robust data models.
Implement time-based feature engineering for dynamic insights.
Apply dimensionality reduction to enhance model efficiency.
Develop feature interaction strategies for predictive accuracy.
Utilise Python libraries for effective feature engineering.
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.