Data Science & MLIntermediate
Machine Learning Fundamentals
Covers the core machine learning workflow: data preparation, model selection, training, evaluation, and improvement. Uses Python and scikit-learn throughout with real datasets.
Tools & Technologies
Pythonscikit-learnpandasmatplotlib
Course Curriculum
1
ML Foundations
- Supervised vs unsupervised
- Training/test splits
- Bias-variance tradeoff
2
Regression
- Linear & polynomial regression
- Regularisation (Ridge, Lasso)
- Evaluation metrics
3
Classification
- Logistic regression
- Decision trees
- Random forests
- Confusion matrices
4
Model Improvement
- Cross-validation
- Hyperparameter tuning
- Feature engineering
- Pipeline building
What's Included
Live instructor-led online session
Small cohort (max 12 delegates)
Course materials & code samples
CPD accredited certificate
Post-session recording (30 days)
Q&A with your instructor
£995+ VATEnrol Now Book for a team
per person, excluding local tax.
14 hours (2 days)
Next: Tue, 7 Apr 2026
6 seats remaining
Intermediate level
6/12 seats filled
CPD accredited · Full refund 14 days before