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Section 5: So much more Classification Process – K-Nearby Residents and you may Service Vector Machines K-nearby residents Assistance vector servers Organization situation Business facts Data knowledge and you may thinking Acting and you can assessment KNN acting SVM acting

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Desk away from Content material Preface Chapter 1: A process to achieve your goals The procedure Business knowledge Identifying the firm mission Evaluating the issue Choosing the logical desires Creating a job package Studies insights Research thinking Acting Investigations Implementation Algorithm flowchart Conclusion

Chapter 2: Linear Regression – The brand new Blocking and Dealing with out-of Server Discovering Univariate linear regression Business understanding Multivariate linear regression Company expertise Data facts and you will preparation Modeling and you can evaluation Other linear model factors Qualitative enjoys Interaction terminology Bottom line

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Chapter step 3: Logistic Regression and you can Discriminant Study Classification methods and linear regression Logistic regression Organization insights Data skills and planning Modeling and you will assessment

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Section 4: Cutting-edge Function Possibilities within the Linear Patterns Regularization basically Ridge regression LASSO Flexible web Organization instance Providers understanding Investigation expertise and you may thinking Acting and assessment Finest subsets Ridge regression LASSO Flexible web Cross-validation that have glmnet Model possibilities Regularization and you can class Logistic regression example Realization

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An overview of the strategy Knowing the regression woods Group trees Haphazard tree Gradient boosting Providers situation Modeling and you can review

A bankruptcy proceeding: Neural Channels and you will Strong Reading Inclusion so you’re able to sensory communities Deep studying, a no further-so-strong overview Strong training tips and you can advanced actions Business information Analysis insights and you can planning Modeling and analysis A typical example of deep learning H2o records Data publish to Liquids Perform instruct and you can take to datasets Acting Summation

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Hierarchical clustering Length calculations K-setting clustering Gower and you can partitioning up to medoids Gower PAM Haphazard tree Providers skills Research knowledge and you can preparing Acting and comparison