How to make machine learning projects without coding | RapidMiner | Customer Classification Example
In the video, we demonstrate creating a machine learning model using the Gradient Boosting algorithm to categorize customers as either buyers or non-buyers. The best part? We do this using RapidMiner without writing a single line of code!!
The dataset comprises information from 5000 customers, including details such as gender, age, income, province, and their purchase history.
Subsequently, we’ll apply the trained model to classify 2500 new customers as potential buyers or non-buyers. This strategic approach aims to optimize our marketing budget by precisely targeting the right audience. 🚀
In the previous video we did this project using Python. You can find the video via this link:
• How to Build Neural Network for Customers ...
How to install RapidMiner:
https://altair.com/altair-rapidminer-...
#machinelearning #datascience #python #gradientboosing #xgboost #customerclassification #rapidminer #Zerocoding