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Machine Learning Guide
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Welcome
Introduction
Machine Learning Module
A Machine Learning Workflow
Binning
Introduction to Binning
Defining Binning Properties
Configuring Basic Options
Binning Output
K-Means Clustering
Introduction
Defining Model Properties
Configuring Basic Options
Configuring Advanced Options
Model Output
Output Port
Model Metrics Port
Linear Regression
Introduction
Defining Model Properties
Configuring Basic Options
Configuring Advanced Options
Model Output
Output Ports
Model Score Port
Model Metrics Port
Logistic Regression
Introduction
Defining Model Properties
Configuring Basic Options
Configuring Advanced Options
Model Output
Output Ports
Model Score Port
Model Metrics Port
Principal Component Analysis
Introduction
Defining Model Properties
Configuring Basic Options
Configuring Advanced Options
Model Output
Output Port
Model Metrics Port
Random Forest Classification
Introduction
Defining Model Properties
Configuring Basic Options
Configuring Advanced Options
Model Output
Output Ports
Model Score Port
Model Metrics Port
Random Forest Regression
Introduction
Defining Model Properties
Configuring Basic Options
Configuring Advanced Options
Model Output
Output Ports
Model Score Port
Model Metrics Port
Machine Learning Model Management
Accessing Machine Learning Model Management
Model Assessment
Introduction to Model Assessment
Model Assessment Operations
Model Detail Tab
K-Means Clustering Details
Logistic Regression Details
Linear Regression Details
Random Forest Regression Details
Random Forest Classification Details—Binomial
Random Forest Classification Details—Multinomial
Principal Component Analysis Details
Binning Management
Introduction to Binning Management
Binning Management Operations
Data Science Demonstration Flows
Introduction
Supervised Learning: Loan Default Prediction
Unsupervised Learning: Segmentation
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