Machine LearningBeginner
Machine Learning Crash Course
Google's fast-paced introduction to machine learning. Covers ML concepts, TensorFlow APIs, and real-world case studies. Written and maintained by Google engineers. Completely free.
Free course on freeCodeCamp
Machine Learning with Python
30 hours 4.6(9,800 reviews)Free
freeCodeCamp's Machine Learning with Python certification teaches ML fundamentals using scikit-learn and real datasets. You build five projects: predicting housing prices, classifying iris flowers, text analysis, and more. The entire course is free on freeCodeCamp.org. After finishing, you understand ML algorithms (regression, classification, clustering) and can build working models. The main limitation: this is applied ML, not theory. For understanding how algorithms work, pair this with Andrew Ng's courses.
Machine learning engineers are among the highest-paid software professionals, with average salaries of $150k-$200k in the US (source: Levels.fyi).
About This Course
freeCodeCamp's machine learning curriculum. Covers TensorFlow, neural networks, natural language processing, and reinforcement learning. Build and train models through five certification projects. Free certificate.
Course Details
- Platform
- freeCodeCamp
- Language
- Machine Learning
- Level
- intermediate
- Duration
- 30h
- Certificate
- Yes, included
- Cost
- Free
Frequently Asked Questions
Is the freeCodeCamp ML course free?
Yes, completely free.
Do I need Python and math first?
Python, yes. Math: helpful but not required.
What tools does it teach?
Scikit-learn (for algorithms), Pandas (for data), Matplotlib (for visualization).
Is this enough for an ML job?
As a foundation, yes. For a job, add deep learning (neural networks) and build real projects.
After this, what's next?
Deep learning (fast.ai or Andrew Ng), then specialize (NLP, Computer Vision, Reinforcement Learning).
More Machine Learning Courses
edXCertificate
Machine LearningIntermediate
HarvardX Data Science Professional Certificate
Harvard's 9-course data science certificate on edX. Covers R programming, data visualisation, probability, inference, regression, machine learning, and capstone.
CourseraCertificate
Machine LearningAdvanced
Deep Learning Specialization (Andrew Ng)
Andrew Ng's landmark Deep Learning Specialization on Coursera. Five courses covering neural networks, CNNs, RNNs, optimisation, and ML strategy. Free to audit; certificate costs money.