AI & Machine Learning · Course
Intro to Machine Learning
Build your first real machine learning models, no experience needed. Every lesson has a live example you run and a short exercise you solve, right in your browser with real scikit-learn. You will learn the core loop of machine learning, explore data, train and validate models, avoid overfitting, and use a random forest, all on a relatable dataset of student exam results.
7 lessonsSelf-pacedbeginnerNo video neededFinal projectFree · Certificate
What you’ll learn
- Understand what a machine learning model is and how it learns
- Explore a dataset before modelling it
- Train your first model: define, fit, predict
- Validate honestly with a train/test split and mean absolute error
- Recognise and avoid underfitting and overfitting
- Use a random forest, a strong everyday model
Lessons
How Machine Learning Works
Building a Model
Next Steps
Earn a certificate
Certificates are issued automatically, with a link anyone can use to check they are real. This course’s certificate needs your final project, Predict Student Exam Scores, approved by a mentor. Finishing the lessons earns a course badge, the step before it.
Course badge
- Not yet: All lessons complete (0 of 7)
Project Certificate
- Not yet: Everything for the course badge
- Not yet: Final project approved by a mentor