Establish treatment effect of a test in the presence of confounders using CausalML.
Modeling customer segments in the presence of numerical and categorical features
Creating a web app that profiles your customer segments using classification model feature importances
Predicting Customer Lifetime Value in Python using BG/NBD and Gamma-Gamma models
This blog explores how to frame the Customer Lifetime Value prediction as a regression task and uses Deep Neural Networks to predict the next 3 months of cus...
Learn how to detect anomalies in website traffic data using Rolling Averages, Auto-Regressive Model, and Seasonal Model
Learn how to detect anomalies in website traffic data using Machine Learning models - Local Outlier Factor, HDBSCAN, and Isolation Forest
Automate the process of feature engineering, model search, and hyperparameter tuning for Propensity Modelling using ComposeML, Featuretools, and PyCaret