skill PathFeature Engineering
This Skill Path covers different processes related to building and implementing Machine Learning algorithms. This content is the next step in becoming a Machine Learning Engineer after taking our Exploratory Data Analysis content.
Includes
Python, Machine Learning, Algorithms, Datasets, Feature Selection, Dimensionality Reduction, Engineering, Data Transformation, and more...
Experience
Intermediate
For those who want to
- Learn how machine learning engineers transform datasets into informative, actionable data
- Gain knowledge needed to pivot into Machine Learning engineering roles
- Understand real-world applications for lofty machine learning concepts
Earn
Certificate of Completion
What will you be able to do?
Here are just a few things you’ll be able to do with this skill.
What will you be able to do?
Here are just a few things you’ll be able to do with this skill.
DIMENSIONALITY REDUCTION
Reduce dimensionality with unsupervised learning methods that make complex, raw data easier to analyze.
FEATURE SELECTION
Extract features from datasets to summarize data so that it is informative and non-redundant.
IMPLEMENT METHODS
Identify different feature selection methods and know best practices for implementing the methods in real-world applications.
You really feel like there's nothing you can't learn, which in turn builds so much confidence in your skills and gives the momentum to keep learning.
How are Skill Paths different?
Get a specialized skill.
Want 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 guidance.
We guide you through exactly where to start and what to learn next to build a new skill.
Get there quickly.
We’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.