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Machine Learning Course

A practical, project-driven introduction to Machine Learning for working developers.

Description

A structured intermediate-level course covering Machine Learning from core concepts through practical, real-world application. Part of CodeFoundry's AI & Data Science curriculum, this course pairs concept walkthroughs with hands-on exercises so you can apply Machine Learning confidently on the job.

What You'll Learn

  • Machine Learning Fundamentals
  • Core Machine Learning Concepts
  • Intermediate Machine Learning Techniques
  • Machine Learning in Practice
  • Common Machine Learning Pitfalls & Best Practices

Course Content

1. Getting Started with Machine Learning
2. Machine Learning Core Concepts
3. Hands-On: Your First Machine Learning Project
4. Intermediate Machine Learning Patterns
5. Debugging & Troubleshooting Machine Learning
6. Machine Learning Best Practices
7. Real-World Machine Learning Case Study
View Curriculum (PDF)

Prerequisites

  • Basic programming experience is recommended before starting Machine Learning.
  • Familiarity with fundamental computer science concepts is helpful.

Requirements

  • A computer with internet access.
  • A code editor (VS Code recommended).
  • Python 3 installed, along with pip for package management.

Instructor

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Joseph Flores
Instructor

Course author and instructor at CodeFoundry.

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