Feature Engineering Course
What will I learn?
Unlock the power of data with our Feature Engineering Training, designed for engineering professionals keen to improve their predictive modelling skills. Dig deep into advanced methods such as managing categorical variables, engineering features based on time, and reducing the number of dimensions. Become skilled at exploring datasets, creating features, and documenting your work. Learn how to use Python, Pandas, and Scikit-learn in practical situations. Assess how features affect how well a model works and make confident decisions based on data. Enrol now to change the way you understand data!
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
Get good at handling categorical variables for strong data models.
Use time-based feature engineering to gain useful insights that change over time.
Reduce the number of dimensions to make models work better.
Create ways for features to interact so predictions are more accurate.
Use Python libraries to engineer features effectively.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and 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 similar to 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 provides practical and relevant knowledge for your professional journey.