Data Science & AIMachine LearningIntermediateTrending
Machine Learning Foundations
From linear regression to neural networks.
4.7(84 ratings) 88 lessons · 9 modules 44h428 students
DT
What you'll learn
- Supervised learning
- Unsupervised learning
- Model evaluation
- Scikit-Learn
About this course
A foundational ML course covering supervised and unsupervised learning, model evaluation, and Scikit-Learn.
Curriculum
9 modules · 88 lessons · 44h
The detailed curriculum for this course is being finalised. The outline covers 88 lessons across 9 modules.
Requirements
- Python basics
- Basic statistics
Who this course is for
- Developers entering ML
- Data analysts
Student reviews
No written reviews yet. The course has 84 ratings with an average of 4.7 out of 5.
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