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ANN Summary

ANN Summary

Boosted Trees for

Boosted Trees for Regression

The Derivation of

The Derivation of a ROC Curve with an Example

ROC Charts and

ROC Charts and Decile Charts

Measures of Classification

Measures of Classification Model Quality

Lecture 10. Time

Lecture 10. Time series forecasting with Multiple Linear Regression

Ch9 HW Solution

Ch9 HW Solution Walk Through

5 Example MLR

5 Example MLR problem in JMP

Create Correlation Matrix

Create Correlation Matrix in Excel

9 Related input

9 Related input variables

1 What does

1 What does it mean to have a hardened heart

Building and Evaluation

Building and Evaluation Decision Tree Models In SAS JMP

How to evaluate

How to evaluate ScikitLearn classification model results

The Basics of

The Basics of Formatting Strings and Numbers in Python 3

Launch Jupyter Notebook

Launch Jupyter Notebook in Mac Folder or your choice

4 ROC Curves

4 ROC Curves

3 Boosted Trees,

3 Boosted Trees, Random Forests, SVM

1 Summary comparison

1 Summary comparison of predictive algorithms

2 KNN and

2 KNN and ANN

How Neural Networks

How Neural Networks work

Prepare data and

Prepare data and test for overfitting in KNN with all input variables

Starting Jupyter Notebook

Starting Jupyter Notebook in the MS Windows folder of your choice

Data types and

Data types and Partition data in JMP

Generate Correlation Matrix

Generate Correlation Matrix in JMP and Evaluate Collinearity