Data science, machine learning, and analytics without coding
Eric Hulbert
Build a KNIME Random Forest model for a sales-and-marketing client, prepare data and interpret predictions within a broader no-code data-science course
Related skills · check the marketing fit
Build an iterative customer-churn classification project using baseline Random Forest, feature engineering and tuned ensembles within a broader fraud/churn/financial-risk compilation
Shreesha Jagadeesh · Udemy
Build an iterative customer-churn classification project using baseline Random Forest, feature engineering and tuned ensembles within a broader fraud/churn/financial-risk compilation
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.
Eric Hulbert
Build a KNIME Random Forest model for a sales-and-marketing client, prepare data and interpret predictions within a broader no-code data-science course
Aaron Sanchez
Implement customer-churn classification, behavioral customer clusters and a product recommender using collaborative algorithms within a four-project ML compilation, no component is counted separately
Ram Prasad
Use a no-code classification model and forward feature selection to analyze age, geography and traffic-source predictors and derive marketing actions within a broader RapidMiner ML course