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TABLE OF CONTENTS16 sections

Data Warehousing & Data Mining

01Data Warehousing & Data Mining 02Foundations Of Data Warehousing And Data Mining 03Enterprise Data Architecture And Modern Platforms 04Dimensional And Enterprise Data Modeling 05Data Integration Etlelt And Data Quality 06Olap Semantic Layers And Analytical Querying 07Warehouse Performance Operations And Lifecycle Management 08Data Governance Security And Regulatory Compliance 09Data Mining Foundations And Project Methodologies 10Data Preparation And Feature Engineering 11Supervised Learning For Prediction And Classification 12Unsupervised Learning And Segmentation 13Association Sequential And Pattern Mining 14Specialized And Ai Enabled Mining Applications 15Model Evaluation Explainability And Operationalization 16Strategy Decision Analytics And Emerging Directions

Chapter 10

Supervised Learning For Prediction And Classification

PREVIOUS SECTIONData Preparation And Feature Engineering UP NEXTUnsupervised Learning And Segmentation

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