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- Core Tech
Building a Foundational Predictive Model
In this lab, you will learn how to build and evaluate a machine learning model to predict CI/CD pipeline failures using Python and scikit-learn. You'll prepare pipeline log data, train a classification model, and assess its performance using industry-standard metrics.
Lab Info
Table of Contents
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Challenge
Set up a machine learning development environment and conduct basic data preparation
You will first learn how to configure a Python ML environment, prepare pipeline data, and engineer features for model training.
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Challenge
Train and evaluate a simple classification model
Next, you will build a logistic regression classifier, interpret performance metrics using confusion matrices, and understand model limitations.
Real skill practice before real-world application
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Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
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Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.