Loading
Loading
Regression is a type of supervised learning where the model predicts a continuous numerical value rather than a category. It learns the relationship between input features and a continuous output variable from labelled training data.
Regression is fundamental to forecasting and estimation tasks — from predicting sales figures to estimating property values — making it one of the most practical ML techniques.
Zillow's Zestimate uses regression models to predict house prices based on features like location, size, number of rooms, and recent sales of comparable properties.
Classification
Classification is a type of supervised learning where the model learns to assign input data to predefined categories or labels. The model is trained on labelled examples and then predicts which category new, unseen data belongs to.
Supervised Learning
Supervised learning is a type of machine learning where the model is trained on labelled data — input-output pairs where the correct answer is provided. The model learns to map inputs to outputs and can then predict the correct output for new, unseen inputs.
Predictive Analytics
Predictive analytics uses historical data, statistical algorithms, and machine learning to forecast future outcomes and trends. It transforms raw data into actionable predictions that help organisations make proactive decisions.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.