Handling Rare Events and Class Imbalance in Predictive Modeling for Machine Failure Most supervised Machine Learning algorithms face difficulty when there is class imbalance in the training data i.e., amount of data belonging one class [...]
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Customer Churn Prediction with SVM using Scikit-Learn Support Vector Machine (SVM) is unique among the supervised machine learning algorithms in the sense that it focuses on training data points along the separating hyper planes. In [...]
Customer Lifetime Value, Present and Future Customer lifetime value for a business is the monetary value associated with relationship with a customer, although there have been attempts to include non monetary value associated with [...]
Machine Learning is seeing its day – every business in every domain is coming up with ways and means of incorporating Data Sciences for delivering business results. Answering the demands [...]
Stop the Customer Separation Pain with Bayesian Classifier In my last post, we did some exploratory analytic for customer churn. We identified the parameters that have most influence on whether a customer account gets closed [...]
Explore Customer Churn with Cramer Index Classification problems involve predicting a response variable based on a set of feature variables for some entity. But there is another problem whose solution is a prerequisite [...]
