Machine Learning A-Z: Hands-On Python & R
Master machine learning algorithms including regression, classification, clustering, and deep learning. Build 10+ real-world projects.
- 4.3
- 438 Reviews
- 16 weeks
- Duration
- 801
- Students Enrolled
- 285
- Lessons

One-time payment
801
4.3
16 weeks
285
Language
English
Last Updated
June 2026
What You'll Get
- Lifetime access to all 285 lessons
- Learn at your own pace, on any device
- Peer learning group access
- Mini projects and completion certificate
Course Overview
What You'll Learn
- Supervised and unsupervised learning
- Neural networks and deep learning
- Natural language processing
- Computer vision basics
- Model deployment
Who This Course Is For
- Data scientists
- Software developers
- Research students
Course Syllabus
Debugging Components
Reviewing State
Reviewing the Core Loop
Working with Performance
Refactoring the Data Layer
Introduction to the Final Project
Deploying Edge Cases
Working with Performance
Debugging the Pipeline
Working with Patterns
Building the Core Loop
Refactoring the Final Project
Working with Patterns
Deploying the Pipeline
Deploying the Pipeline
Refactoring the Core Loop
Optimising the Final Project
Reviewing Patterns
Introduction to State
Reviewing the Core Loop
Building the Pipeline
Debugging Performance
Optimising Edge Cases
Deploying Patterns
Working with State
Reviewing Components
Understanding the Data Layer
Working with Performance
Deploying Components
Introduction to the Data Layer
Refactoring the Final Project
Refactoring Components
Working with the Pipeline
Refactoring the Data Layer
Refactoring the Pipeline
Reviewing Edge Cases
Building Edge Cases
Debugging State
Building State
Introduction to the Final Project
Building State
Reviewing the Final Project
Optimising the Core Loop
Testing State
Debugging State
Reviewing the Data Layer
Optimising the Pipeline
Understanding the Pipeline
Refactoring the Core Loop
Refactoring the Data Layer
Testing Edge Cases
Building Components
Understanding the Pipeline
Optimising the Final Project
Debugging the Toolchain
Introduction to the Core Loop
Reviewing Edge Cases
Instructor
David Wilson
ML Engineer
Frequently Asked Questions
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