Feature Engineering Course
What will I learn?
Unlock di power wey dey inside data wit our Feature Engineering Training. E dey design for engineering professionals dem wey sabi book well well, wey dey hungry to make dem predictive modeling skills strong pass before. Enter inside inside for advanced techniques like how to handle categorical variables, time-based engineering, and how to make di data small so e fit run fast. Master how to dig inside dataset to find out wetin dey happen, create new features, and write am down well well for people to understand. Learn how to use am for real life wit Python, Pandas, and Scikit-learn. Check how di features dey affect di model performance and use data to make correct decisions wit confidence. Join us now make you change how you dey see data!
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master how to handle categorical variables well for strong data models.
Use time-based feature engineering to see things wey dey change over time.
Make data small so di model fit run fast well well.
Learn how to make features work together to predict things correct.
Use Python libraries to do feature engineering sharp sharp.
Suggested overview
Workload: between 4 and 360 hours
Before getting started, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You'll be able to create more chapters like the examples below
This is a free course, focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.