Data Mining, Data Science, Python, Apache Spark, Kaggle.
to interpret and understand the results obtained from data mining. This involves analyzing patterns, trends, and relationships that have been identified in the data. Validation and Verification: It’s important to validate the results to ensure that the insights are reliable and based on sound data.