Predicting bank term deposits using classification ML algorithms.
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Updated
Oct 20, 2023 - R
Predicting bank term deposits using classification ML algorithms.
Modelling customers' behaviour for better marketing strategies. Constructing the baseline behavioural scorecard model to fasten the mortgage application process. In cooperation with Atom Bank.
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
An exploratory analysis of Chicago community areas.
Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.
predictive model to output a list of features that influence whether or not a searching customer decides to purchase a product
Deep Treatment Learning (R)
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
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