Machine Learning With Python: Predicting Customer Churn
Eduonix Learning Solutions, Eduonix-Tech .
Define a customer-churn problem, prepare the data and build Python machine-learning models through a complete problem-to-model sequence
Marketing focus
Prepare customer data and features in Python, build BG/NBD lifetime-value models and compare XGBoost and LightGBM approaches for market-strategy decisions
Datagist INC · Udemy
Prepare customer data and features in Python, build BG/NBD lifetime-value models and compare XGBoost and LightGBM approaches for market-strategy decisions
Selected published requirements: “Basic computer skills”. See the provider page for the full requirements and current tool terms
Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking
Related tasks, tools and formats. Check the differences before choosing.
Eduonix Learning Solutions, Eduonix-Tech .
Define a customer-churn problem, prepare the data and build Python machine-learning models through a complete problem-to-model sequence
O.P. Jindal Global University
Python/scikit-learn supervised workflows include marketing-engagement prediction, product recommendation, three-month customer lifetime value, neural-network churn prediction and model deployment
DataCamp
Four chapters (17 videos, 55 exercises) use online-retailer transactions for cohort acquisition/retention metrics, RFM value scoring and custom segments, then prepare and scale RFM features, fit k-means and interpret the resulting…