beginnerCertificate$25/mo
Supervised Learning with scikit-learn
by Andreas Müller & Hugo Bowne-Anderson · DataCamp
4.5(5,200 reviews)
150K+ enrolled4 hoursUpdated 2024-09
What You'll Learn
Understand the fundamentals and key concepts of supervised learning
Apply supervised learning techniques to solve real-world problems
Understand the fundamentals and key concepts of scikit-learn
Apply scikit-learn techniques to solve real-world problems
Understand the fundamentals and key concepts of classification
Apply classification techniques to solve real-world problems
About This Course
Build classification and regression models with scikit-learn covering KNN, logistic regression, SVMs, and model tuning.
Curriculum
Module 1: Supervised learning & Scikit-learn6 lessons
- Introduction to supervised learning
- Supervised learning in Practice
- Hands-on Exercise: Supervised learning
- Introduction to scikit-learn
- Scikit-learn in Practice
- Hands-on Exercise: Scikit-learn
Module 2: Classification & Regression6 lessons
- Introduction to classification
- Classification in Practice
- Hands-on Exercise: Classification
- Introduction to regression
- Regression in Practice
- Hands-on Exercise: Regression
Module 3: Python3 lessons
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Instructor
Andreas Müller & Hugo Bowne-Anderson
Instructor at DataCamp
Pros & Cons
Pros
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Andreas Müller & Hugo Bowne-Anderson
- Well-structured curriculum
Cons
- Requires paid subscription
- May be too basic for experienced practitioners
- Self-paced requires discipline
$25/mo
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