This learning path is designed for anyone interested in quickly getting up to speed with machine learning. The learning path consists of step-by-step tutorials with hands-on demonstrations where you will build models and use them in apps. You'll use Python and scikit-learn to build and test the models.
Skill level
Beginner
Estimated time to complete
Approximately 2 hours.
Learning objectives
Upon completion of this learning path, you will be able to:
Understand what machine learning is
Understand supervised versus unsupervised learning
Perform data exploration and preprocessing
Prepare and train a classification model
Understand linear regression
Know the basics of solving a classification-based machine learning problem
Understand and use clustering algorithms using Python and scikit-learn
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