Machine learning is only as good as its training data. Learn how to process data properly before training your models.
Includes Python, Machine Learning, Algorithms, Datasets, Feature Selection, Dimensionality Reduction, Engineering, Data Transformation, and more.
Time to complete40 hours
Certificate of completionYes
Prerequisites3 coursesWe suggest you complete the following courses before you get started with Feature Engineering:
- Linear Algebra
- Getting Started with Python for Data Science
- Python for Data Science: Working with Data
About this skill path
A machine learning model is only as good as the data it learns from. Feature Engineering helps ensure data quality by scaling, normalizing, and transforming raw data before using it in a machine learning model. In this Skill Path, you will learn to safeguard data quality, turn attributes into features, and verify that your data meets the assumptions of the model you want to train.
Skills you'll gain
- Turn raw data into features
- Select the right features for a model
- Implement principal component analysis
Syllabus4 units • 4 lessons • 4 projects • 3 quizzes
Introduction to Feature Engineering
Find out what you’ll learn in the feature engineering skill path!
Transforming Data into Features
Learn about different methods of transforming data into features.
Feature Selection Methods
Learn about different feature selection methods and their implementations in Python!
Feature Engineering by Reducing Dimensionality
Learn feature engineering methods that reduce the dimensionality of a dataset.
Hands-on learningDon't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this skill path
Transforming Data into FeaturesPerform data transformations on a clothing company customer review dataset!
Wrapper MethodsImplement wrapper methods on a dataset relating to health and eating habits!
Predict Wine Quality with RegularizationBuild a wine quality classifier with logistic regression using regularization.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
What's included in skill paths
Practice ProjectsGuided projects that help you solidify the skills and concepts you're learning.
AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
Certificate of CompletionEarn a document to prove you've completed a course or path that you can share with your network.
Skill paths help you level-up
Get a specialized skillWant to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.
Get step-by-step guidanceWe guide you through exactly where to start and what to learn next to build a new skill.
Get there quicklyWe’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.
Ready to learn a new skill?Get started on Feature Engineering with a free Codecademy account.
Looking for something else?
- Skill path
Master Statistics with PythonLearn the statistics behind data science, from summary statistics to regression models.Includes 9 CoursesWith CertificateIntermediate31 Lessons
- Skill path
Build a Machine Learning Model with PythonLearn to build machine learning models with Python.Includes 10 CoursesWith CertificateIntermediate16 Lessons