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Decision trees are a supervised machine learning technique used for both classification and regression tasks. They work by breaking down a problem into a series of simple decisions, creating a tree like structure of rules that lead to a final outcome. Each step in the...Blog
XGBoost, short for Extreme Gradient Boosting, is a powerful machine learning algorithm used mainly for supervised learning tasks such as classification and regression. It is based on the idea of combining multiple simple models, typically decision trees, to create a...Blog
Ranking is a machine learning technique used to order items based on their relevance, importance, or likelihood of a particular outcome. Rather than simply predicting a value or assigning a category, ranking focuses on prioritising results so that the most useful or...Blog
Row importance is a machine learning technique used to identify which individual records in a dataset are the most significant or influential. While many techniques focus on the importance of variables, row importance shifts the focus to the data points themselves. It...Blog
Time series is a machine learning technique used to analyse and predict data that is collected over time. Unlike other approaches that treat data as independent observations, time series focuses on the order and timing of data points. This makes it especially useful...Blog
Regression is a supervised machine learning technique used to predict continuous values based on patterns in data. Unlike classification, which assigns data into categories, regression focuses on estimating numerical outcomes. It looks at the relationship between...
