This dataset contains the annually registered gold prices from 1969 to 2021. Price discovery is crucial for any market. Gold not only has a spot price, but it also has the LBMA Gold Price. The LBMA Gold Price is used as an important benchmark throughout the gold market, while the other regional gold prices are […]

The data has been produced using Monte Carlo simulations. The first 21 features (columns 2-22) are kinematic properties measured by the particle detectors in the accelerator. The last seven features are functions of the first 21 features; these are high-level features derived by physicists to help discriminate between the two classes. There is an interest […]

Generate 2d binary classification datasets that are challenging clustering and classification algorithms. They are useful for visualization. This dataset produces Gaussian data with a spherical decision boundary for binary classification.

Learn the basics of classification with with the more popular example, the Iris dataset.

The two datasets are related to red and white variants of the Portuguese “Vinho Verde” wine. Due to privacy and logistic issues, only physicochemical (inputs) and sensory (the output) variables are available (e.g. there is no data about grape types, wine brand, wine selling price, etc.)

With Google Analytics using historical data. Sales forecasting is one of the most common tasks that a data scientist has to face in daily business.

Our case study is a bank that wants to develop a churn model to predict the probability of a customer to churn. The banking sector has become one of the main industries in developed countries. The technical progress and the increasing number of banks raised the level of competition. Banks are working hard to survive […]

Information on the labor force data in USA collected by US Bureau of Labor Statistic.

With Google Analytics using historical data. Sales forecasting is one of the most common tasks that a data scientist has to face in daily business.