Correlation analysis refers to the application of statistical analysis and other mathematical techniques to evaluate or measure the relationships between variables. It can be used to identify the most likely set of factors that will lead to a particular outcome — such as a client responding to an offer or the performance of financial markets.
Hyperparameter tuning is a technique used to optimize the performance of machine learning models. Hyperparameters are predetermined parameters that do not change throughout the learning process of the model. Correct selection of these parameters can significantly improve the accuracy of the model, the ability to generalize, and the computational efficiency.
Descriptive analysis is the analysis of historical data to determine what is, what has changed, and what patterns can be identified.
Micro-service architecture is a software architecture approach based on the development and deployment of large and complex applications as small, independent and specialized services.
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