CausalML - Analysing AB Test Results
Establish treatment effect of a test in the presence of confounders using CausalML.
Marketing
K-Prototypes - Customer Clustering with Mixed Data Types
Modeling customer segments in the presence of numerical and categorical features
Customer Segment Profiling App with Streamlit
Creating a web app that profiles your customer segments using classification model feature importances
Modelling Customer Lifetime Value
Predicting Customer Lifetime Value in Python using BG/NBD and Gamma-Gamma models
Deep Neural Networks for Customer Lifetime Value
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...
Unsupervised Anomaly Detection for Web Traffic Data (Part 1)
Learn how to detect anomalies in website traffic data using Rolling Averages, Auto-Regressive Model, and Seasonal Model
Unsupervised Anomaly Detection for Web Traffic Data (Part 2)
Learn how to detect anomalies in website traffic data using Machine Learning models - Local Outlier Factor, HDBSCAN, and Isolation Forest
Predicting Super Customers using Feature Labs and PyCaret
Automate the process of feature engineering, model search, and hyperparameter tuning for Propensity Modelling using ComposeML, Featuretools, and PyCaret