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11_​DataScience_​with_​KNIME_​an_​Introduction

Data Science with KNIME - An Introduction to Data Science using Churn Prediction

This workflow illustrates how to do churn prediction with KNIME Analytics Platform.

Learn a data mining model Predict different models Data preparation Evaluate the quality of yourmodel Visual Data Exploration Split in Training andTest Set Using Parameter Optimization in KNIME Read and combine your data sources Partioning Data80/20Contract DataJoin Dataarea codeand churn ->StringFilter Non-RelevantColumnsSimple BuisnessRulesNode 778Color ByChurn ParameterOptimization Decision TreePredictor Random ForestLearner Random ForestPredictor DecisionTree Learner Partitioning Excel Reader (XLS) File Reader Joiner Number To String Column Filter Scorer Rule Engine Math Formula Table Rowto Variable Scorer Data Explorer Scatter Plot Color Manager Learn a data mining model Predict different models Data preparation Evaluate the quality of yourmodel Visual Data Exploration Split in Training andTest Set Using Parameter Optimization in KNIME Read and combine your data sources Partioning Data80/20Contract DataJoin Dataarea codeand churn ->StringFilter Non-RelevantColumnsSimple BuisnessRulesNode 778Color ByChurnParameterOptimization Decision TreePredictor Random ForestLearner Random ForestPredictor DecisionTree Learner Partitioning Excel Reader (XLS) File Reader Joiner Number To String Column Filter Scorer Rule Engine Math Formula Table Rowto Variable Scorer Data Explorer Scatter Plot Color Manager

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: lars.schweikardt
Created at: 2019-11-21
On NodePit since: 2020-04-30
Last update: 2024-04-20
Created with KNIME version: v4.1.2
Tags: learning KNIMEbeginnerswebinarOnboardingData Science

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