- Duration
- 12 weeks
- Level
- Intermediate
- Cost
- Fully funded
Build and train models that make predictions from real data, and learn when machine learning is the right tool and when it is not.
About this course
A working introduction to machine learning for people who want to build, not just understand.
You cover supervised and unsupervised learning, model training and evaluation, and the practical business of getting a model to behave on messy real-world data. Projects use Python and the standard toolkit.
By the end you can take a dataset, frame a problem as a model, train something that works, and explain honestly how well it performs.
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Apply for this course