Current
Intermediate
Supervised Learning with scikit-learn
DataCamp · DataCamp · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
4 hours
Classes
16
Hands-on supervised learning with scikit-learn. Build classification and regression models, tune hyperparameters, and evaluate performance.
What you'll get
Build classification and regression models
Tune hyperparameters with cross-validation
Preprocess data with pipelines
Evaluate model performance rigorously
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python and NumPy basics
Pricing
$25/month subscription
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as Data Scientist, Machine Learning Engineer, or AI Researcher, equipping you with the skills to build reliable models and prepare for certifications like TensorFlow Developer or Microsoft Azure Data Scientist.
Skills Value: The ability to build and evaluate supervised learning models is highly sought after, with average salaries for Data Scientists in the US exceeding $100,000; these skills enable employers to drive data-informed decisions and improve product outcomes.
scikit-learn
Python
Classification
Regression
Machine Learning