Feature Engineering Course
What will I learn?
Unleash the potential of data with our Feature Engineering Course, crafted for engineering professionals keen to boost their predictive modelling abilities. Delve into sophisticated techniques such as managing categorical variables, time-based engineering, and dimensionality reduction. Become proficient in dataset exploration, feature creation, and documentation. Learn practical implementations using Python, Pandas, and Scikit-learn. Assess feature influence on model performance and make data-backed decisions with assurance. Enrol now to revolutionise your data understanding!
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Become an expert in handling categorical variables for strong data models.
Implement time-based feature engineering for dynamic insights.
Apply dimensionality reduction to improve model efficiency.
Develop feature interaction strategies for predictive accuracy.
Use Python libraries for effective feature engineering.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.