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Analytics Training Institute announces a data mining competition using real life industry data. The challenge entails building a propensity model to score leads generated from various online sources present in a CRM system. The leads so scored can then be used for intelligent targeting or can be marketed further using differential pricing based on propensity to convert. The propensity model has to be a binary classifier model scoring leads on propensity to convert, the predicted scores can be plain binary (i.e. a 1 or 0) or a continuous probability score (ranging from 0 to 1) with a higher score representing a higher probability to convert.
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