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Section 5: Far more Group Process – K-Nearby Locals and you can Help Vector Servers K-nearest locals Assistance vector computers Business situation Team insights Studies skills and preparing Modeling and you can evaluation KNN modeling SVM acting

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Table away from Articles Preface Section 1: A method for success The method Business information Determining the company goal Determining the situation Deciding the fresh new logical wants Generating a project package Data knowledge Study preparing Modeling Assessment Deployment Formula flowchart Summation

Part dos: Linear Regression – The new Blocking and Tackling off Host Understanding Univariate linear regression Company insights Multivariate linear regression Business expertise Data information and you may preparation Modeling and you can research Other linear design factors Qualitative enjoys Telecommunications words Bottom line

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Part step 3: Logistic Regression and you may Discriminant Data Classification methods and linear regression Logistic regression Company facts Study information and preparing Modeling and you can review

1 8 9 ten 11 12 a dozen 12 13 13 14 15 fifteen 16 21 22 23 26 thirty-two thirty-two 33 thirty six fifty fifty 52 54 55 56 56 57 58 63

Chapter cuatro: Complex Feature Possibilities inside Linear Habits Regularization in a nutshell Ridge regression LASSO Elastic internet Providers case Providers information Data wisdom and you may thinking Acting and you may comparison Best subsets Ridge regression LASSO Flexible net Cross-recognition that have glmnet Design selection Regularization and you can class Logistic regression example Summary

64 67 70 73 76 82 85 86 87 88 88 89 89 89 90 96 96 one hundred 105 108 111 113 114 114 117 118 119 120 124 124 125 131 131 136 139 142 144 145

An introduction to the techniques Understanding the regression trees Category trees Arbitrary tree Gradient improving Company situation Acting and you may review

Chapter 7: Sensory Networks and Strong Understanding Inclusion so you can neural sites Deep studying, a not-so-strong evaluation Deep learning tips and you can complex tips Organization insights Study skills and you may preparation Acting and you can investigations A good example of strong understanding Water records Research upload so you can Liquid Manage teach and you may take to datasets Modeling Summation

146 146 147 148 149 150 150 150 154 156 159 163 168 168 171 172 172 177 179 181 182 187 192 193 193 195 196 two hundred 201

Hierarchical clustering Point data K-form clustering Gower and you can partitioning up to medoids Gower PAM Random forest Company wisdom Analysis knowledge and you may planning Acting and you can evaluation