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Chapter 5: Much more Group Process – K-Nearest Neighbors and you may Support Vector Computers K-nearby locals Assistance vector computers Organization instance Providers understanding Analysis knowledge and which is better Plenty of Fish vs Match planning Acting and you may comparison KNN modeling SVM modeling
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Desk off Information Preface Chapter step one: A system for success The process Organization facts Identifying the business objective Examining the situation Choosing the new analytical requires Creating a venture package Studies knowledge Analysis preparation Modeling Comparison Deployment Algorithm flowchart Conclusion
Part dos: Linear Regression – The Blocking and you can Tackling away from Servers Learning Univariate linear regression Company skills Multivariate linear regression Organization insights Investigation facts and thinking Acting and you can comparison Other linear design factors Qualitative enjoys Interaction terms and conditions Bottom line
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Chapter step 3: Logistic Regression and you may Discriminant Data Class measures and you may linear regression Logistic regression Business wisdom Research insights and you may thinking Acting and assessment
step one 8 nine ten 11 twelve 12 12 13 13 14 fifteen fifteen sixteen 21 twenty two 23 twenty-six 32 thirty two 33 thirty six fifty 50 52 54 55 56 56 57 58 63
Chapter cuatro: Complex Feature Options within the Linear Patterns Regularization simply speaking Ridge regression LASSO Flexible websites Company situation Providers wisdom Study understanding and you can preparing Modeling and investigations Finest subsets Ridge regression LASSO Flexible internet Cross-validation having glmnet Design choices Regularization and you will class Logistic regression analogy Realization
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An overview of the methods Knowing the regression woods Classification trees Arbitrary forest Gradient boosting Company case Acting and you may research
Chapter 7: Neural Companies and Deep Studying Introduction so you’re able to neural sites Strong learning, a not any longer-so-strong assessment Deep training information and you can cutting-edge procedures Business insights Research knowledge and you may preparation Acting and you may testing A typical example of deep studying Drinking water background Data publish to help you Drinking water Create show and you will decide to try datasets Modeling Summation
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Hierarchical clustering Range data K-function clustering Gower and you may partitioning as much as medoids Gower PAM Haphazard forest Providers facts Analysis wisdom and you will preparing Modeling and you may review
