Regression for Coffee dataset in the US market using R and Python
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Updated
Jun 4, 2024 - Jupyter Notebook
Regression for Coffee dataset in the US market using R and Python
Uncover customer churn patterns in telecom data. Utilizing logistic regression, we predict churn and assess model performance. The README guides users through dataset overview and steps. Find detailed insights in the accompanying presentation.
A Regression project aiming to forecast the expenses of individuals within an insurance company where we could then decide whether to charge them a premium package or not.
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