Learn data preparation, regression, classification and reliable evaluation of machine learning predictions.
Apply Python and basic statistics to prediction problems. Compare models with simple baselines and learn to recognise data leakage.
Syllabus and skills
- Feature preparation
- Regression and classification
- Training and test splits
- Metrics and overfitting
Practical outcome
Train a model on a public anonymised dataset and report its performance and limitations.
Building your understanding
Before training a model, understand the data source and evaluation method. Compare against a simple baseline to see whether added complexity helps, and check that information from the test set has not leaked into training.
Choosing your course
Find training in Baku that matches your goals and experience. Before enrolling, confirm the entry requirements, lesson format, amount of practice, duration and fees.