Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

A data-driven tool to identify the best candidates for a marketing campaign and optimize it.

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

Propensity model to predict a customer's likelihood of purchasing a product from an online store based on past behaviour

A repo with functions for building various COMs and GCOMs quickly.

The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.

Propensity Modelling and RFM Analysis to predict users' likelihood of making a purchase.

Website Traffic & Conversion Prediction Analysis: A regression analysis project analyzing user behavior and conversion rates for a heat pump installation company based in the United Kingdom, featuring EDA, machine learning models for churn prediction & regression analysis, producing actionable insights to optimize the conversion funnel.

Sales prediction for a segment of product.

Explores the relationship between population demographics, various crime rates, and shall carry gun laws across different regions of the United States between 1977-1999 using a propensity weighted mixed linear effects model.

An insurance company has a historical data set (train.csv). The company has also provided a list of potential customers to whom to market (test.csv). From this list of potential customers, the model determines whom to market and whom not to.