Path overview
In this path, you’ll gain a strong understanding of supervised and unsupervised machine learning algorithms.
You’ll also learn some of the most important and used algorithms and techniques to build, customize, train, test and optimize your predictive models such as linear regression modeling, gradient descent, logistic regression modeling and decision tree and random forest modeling. Finally, you’ll learn optimization techniques that will help you to improve efficiency and accuracy.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects with realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
Understanding the core mathematical concepts behind machine learning
Identifying applications of supervised and unsupervised machine learning models
Using algorithms such as linear regression, logistic regression and gradient descent
Applying optimization methods to improve your models
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We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
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Go from zero to job-ready
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Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Impress employers by completing a capstone project and certifying it with an expert review.
Path outline
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