beginnerCertificate$49/mo
Machine Learning with Python
by Saeed Aghabozorgi · Coursera
4.5(18,000 reviews)
400K+ enrolled5 weeksUpdated 2024-07
What You'll Learn
Understand the fundamentals and key concepts of machine learning
Apply machine 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
IBM course covering regression, classification, clustering, and recommender systems using scikit-learn and SciPy.
Curriculum
Module 1: Machine learning & Scikit-learn6 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine 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: Clustering3 lessons
- Introduction to clustering
- Clustering in Practice
- Hands-on Exercise: Clustering
Instructor
Saeed Aghabozorgi
Instructor at Coursera
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Saeed Aghabozorgi
- Well-structured curriculum
Cons
- Requires paid subscription
- May be too basic for experienced practitioners
- Self-paced requires discipline
$49/mo
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