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.

Sales prediction for a segment of product.

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.

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.