Machine Learning with Python Certification
About this course
freeCodeCamp's Machine Learning certification is built in partnership with TensorFlow and uses TensorFlow 2.x as the primary framework. It covers core neural network concepts (dense layers, convolutional networks, recurrent networks), natural language processing, reinforcement learning basics, and model evaluation — structured around video content developed with input from MIT.
Five certification projects include building a neural network book recommendation system, an SMS spam classifier, and a rock-paper-scissors playing neural network. It occupies the middle ground between the conceptual (Andrew Ng's ML Specialization) and the advanced (Stanford CS231n or CS224n) — a practical, free, project-grounded TensorFlow introduction.
What you'll learn
This course includes
Compare alternatives for Machine Learning with Python Certification
- Price
- FreeCompletely free, forever
- Duration
- 300 hrs
- Level
- Intermediate
- Certificate
- Completion
- Price
- FreeCompletely free, openly licensed — no certificate
- Duration
- 34 hrs
- Level
- Intermediate
- Certificate
- Price
- FreeFree lecture materials; some versions paid
- Duration
- 50 hrs
- Level
- Advanced
- Certificate
- Price
- FreeFree lecture materials; some versions paid
- Duration
- 50 hrs
- Level
- Advanced
- Certificate
Instructor
Produced by freeCodeCamp in partnership with TensorFlow, with curriculum input from MIT, covering applied machine learning through practical TensorFlow projects.
Requirements
- Python programming fundamentals; basic math comfort helpful
Who this course is for
- Python developers moving into applied machine learning with TensorFlow
- Anyone who completed Python fundamentals and wants free ML project experience
- Learners who want ML skills but can't afford paid bootcamps or subscriptions