BI 555 - VideoAndMovie

ANN Summary

5:12

ANN Summary

Boosted Trees for Regression

10:13

Boosted Trees for Regression

The Derivation of a ROC Curve with an Example

5:55

The Derivation of a ROC Curve with an Example

ROC Charts and Decile Charts

21:23

ROC Charts and Decile Charts

Measures of Classification Model Quality

30:10

Measures of Classification Model Quality

Ch9 HW Solution Walk Through

16:12

Ch9 HW Solution Walk Through

Lecture 10. Time series forecasting with Multiple Linear Regression

23:21

Lecture 10. Time series forecasting with Multiple Linear Regression

5 Example MLR problem in JMP

5:45

5 Example MLR problem in JMP

Create Correlation Matrix in Excel

4:20

Create Correlation Matrix in Excel

9 Related input variables

18:10

9 Related input variables

1 What does it mean to have a hardened heart

8:55

1 What does it mean to have a hardened heart

Building and Evaluation Decision Tree Models In SAS JMP

9:47

Building and Evaluation Decision Tree Models In SAS JMP

How to evaluate ScikitLearn classification model results

6:32

How to evaluate ScikitLearn classification model results

The Basics of Formatting Strings and Numbers in Python 3

7:46

The Basics of Formatting Strings and Numbers in Python 3

Launch Jupyter Notebook in Mac Folder or your choice

1:18

Launch Jupyter Notebook in Mac Folder or your choice

4 ROC Curves

7:49

4 ROC Curves

3 Boosted Trees, Random Forests, SVM

11:59

3 Boosted Trees, Random Forests, SVM

2 KNN and ANN

8:49

2 KNN and ANN

1 Summary comparison of predictive algorithms

13:55

1 Summary comparison of predictive algorithms

How Neural Networks work

10:12

How Neural Networks work

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

8:28

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

Starting Jupyter Notebook in the MS Windows folder of your choice

2:46

Starting Jupyter Notebook in the MS Windows folder of your choice

Data types and Partition data in JMP

3:28

Data types and Partition data in JMP

Generate Correlation Matrix in JMP and Evaluate Collinearity

3:42

Generate Correlation Matrix in JMP and Evaluate Collinearity

Performing Multiple Linear Regression (MLR) in JMP

6:45

Performing Multiple Linear Regression (MLR) in JMP

Python 2 Part 4: The Logistic Regression and Decision Tree Model

10:10

Python 2 Part 4: The Logistic Regression and Decision Tree Model

Python 2 Part 2: Data Prep and Feature Engineering

15:36

Python 2 Part 2: Data Prep and Feature Engineering

Python 2 Part 3: Producing and evaluating first model

10:28

Python 2 Part 3: Producing and evaluating first model

Python 2 Part 1: Data Intro and Visualizations

10:25

Python 2 Part 1: Data Intro and Visualizations

Data visualization and charts with matplotlib

5:28

Data visualization and charts with matplotlib