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Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

Implementation and comparison of different regression methods (multiple linear regression, polynomial regression, and logistic regression) applied to real datasets for predicting employee attrition ...

Data mining is the practice of analyzing large volumes of data to extract the most important information, allowing it to be used for deeper analysis.

The last three model unlike linear regression requires some form of transformation either by standardization or normalization. The method selected depends on the type of data.

Data mining uncovers patterns in large data sets, revealing valuable insights for decision-making.

Data mining and regression analysis methods were used to quantitatively analyze the impact of online learning behavior on learning effectiveness. 45 students wh ...