Prediction – Prediction is a data mining technique that is often used in combination with other data mining techniques. It involves analyzing trends, classification, pattern matching, and relation.

Various data mining techniques, such as classification, clustering, and predictive analysis, help in transforming raw data into actionable intelligence.

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...

Data mining techniques have been widely used for extracting knowledge from large amounts of data. Monitoring deforestation is utmost important for the developing countries.

The course introduces fundamental machine learning methods for basic data analytics problems. For classification and regression problems, these methods include naive Bayes, K-nearest neighbours, tree ...

Effective data mining techniques are essential to using data for competitive advantage.

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete ...

The course introduces fundamental machine learning methods for basic data analytics problems. For classification and regression problems, these methods include naive Bayes, K-nearest neighbours, tree ...