'Nominal attributes' diaporamas de présentation

Machine Learning in Practice Lecture 7

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Machine Learning in Practice Lecture 7

420 views • 35 slides

By: Ashmi Banerjee (125186) Suman Datta (1251132) CSE- 3rd year.

By: Ashmi Banerjee (125186) Suman Datta (1251132) CSE- 3rd year. DECISION TREE. INTRODUCTION TO DECISION TREES. Decision tree learning is one of the most widely used and practical methods for

425 views • 25 slides

Data preparation: Selection, Preprocessing, and Transformation

Data preparation: Selection, Preprocessing, and Transformation. Literature: I.H. Witten and E. Frank, Data Mining, chapter 2 and chapter 7. Knowledge. Transformed data. Patterns. Target data. Processed data. Interpretation Evaluation. Data Mining. Transformation & feature

563 views • 25 slides

Data preparation: Selection, Preprocessing, and Transformation

Data preparation: Selection, Preprocessing, and Transformation. Literature: I.H. Witten and E. Frank, Data Mining, chapter 2 and chapter 7. Knowledge. Transformed data. Patterns. Target data. Processed data. Interpretation Evaluation. Data Mining. Transformation & feature

435 views • 25 slides

Introduction of Weka

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Introduction of Weka

325 views • 20 slides

CS 478 - Machine Learning

310 views • 18 slides

Classification Model

572 views • 12 slides