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It helps us to forecast the value of one variable from the worth of two or maybe more variables. The variable that we'll predict is the outcome, look at more info goal, dependent variable, or criterion variable.
Then use logistic regression to prepare a model within the dataset and make churn predictions on unseen shopper facts. You may as well discover other machine learning methods like choice trees or random forests if it applies.
Produce straightforward visuals like histograms or scatter plots to understand distributions and interactions concerning variables.
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