Machine Learning with Python
by Tim Ruscica (Tech With Tim) · freeCodeCamp
Our Verdict
Worth takingMachine Learning with Python is freeCodeCamp's free, project-based certification built around a TensorFlow 2 video course by Tim Ruscica (Tech With Tim), with additional neural-network material. It covers core learning algorithms, deep/convolutional/recurrent neural networks, natural language processing, and reinforcement learning, then requires five hands-on projects (such as an image classifier, a KNN book recommender, a linear-regression health-cost predictor, and an SMS spam classifier) to earn the certificate. It is entirely free, including the certificate, and is genuinely hands-on, though it assumes you already know Python and is lighter on the underlying math than academic courses. The headline '300 hours' is freeCodeCamp's generous self-paced estimate, not lecture length.
A free, project-first path to practical TensorFlow skills and a free certificate, ideal for learners who already know Python and want to build models rather than just watch lectures.
Best for: Python-comfortable learners who want hands-on, project-based experience building neural networks with TensorFlow and a free certificate to show for it.
Skip if: Complete programming beginners, or learners who want rigorous ML theory, math derivations, or instructor support and grading.
About This Course
freeCodeCamp's free, project-based certification that uses TensorFlow to build neural networks and covers deep, convolutional, and recurrent networks plus natural language processing and reinforcement learning, validated by five required projects.
What You'll Learn
Curriculum
Tim Ruscica's full TensorFlow 2 walkthrough covering core algorithms and neural networks.
Principles behind deep, convolutional, and recurrent neural networks.
Applying neural networks to text data.
Introduction to RL concepts and techniques.
Cat & Dog Image Classifier, Book Recommendation Engine (KNN), Linear Regression Health Costs Calculator, Neural Network SMS Text Classifier, and the Rock-Paper-Scissors project.
Prerequisites
- Working knowledge of Python
- Basic familiarity with high-school math / arrays is helpful
Instructor
Tim Ruscica (Tech With Tim)
Instructor · freeCodeCamp
Pros & Cons
Pros
- 100% free, including the certificate and all projects
- Strongly hands-on and project-based with real deliverables
- Taught with a well-regarded TensorFlow video course (Tech With Tim)
- Projects run in Google Colab, so no local setup required
Cons
- Assumes existing Python knowledge
- Lighter on ML theory and math than university courses
- Self-directed with no instructor support or live grading
Alternatives To Consider
How we reviewed this course
This is an independent editorial assessment by Cursarium, based on freeCodeCamp's published course materials and aggregated public learner feedback (last reviewed 2026-06). We have not independently completed the course. Links to providers are standard references, not paid placements.