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.

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40 hours

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.

Joey
Codecademy Learner

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