Dieses Repository beinhaltet meine Projektarbeit im Rahmen des Moduls "Maschinelles Lernen". Dataset Description:
This dataset contains information about red wines. It includes various chemical properties of the wines, such as fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphates, alcohol, and quality. The data is provided in a CSV format.
Privacy and Data Protection:
This dataset does not contain any personally identifiable information (PII) or sensitive data. It consists of anonymized attributes related to wine characteristics. As a result, it does not directly impact privacy or data protection regulations. However, it is essential to handle and store the data securely in compliance with standard data security practices to ensure the confidentiality and integrity of the dataset.
The creators of the dataset have taken measures to anonymize the data and remove any identifiable information. As a user, it is recommended to handle the dataset responsibly, ensuring that any further analysis or usage adheres to applicable data protection guidelines and regulations.