FileMood

Download [DesireCourse.Net] Udemy - Advanced Data Science Techniques in SPSS

DesireCourse Net Udemy Advanced Data Science Techniques in SPSS

Name

[DesireCourse.Net] Udemy - Advanced Data Science Techniques in SPSS

 DOWNLOAD Copy Link

Total Size

953.7 MB

Total Files

97

Hash

C456A43759C8C3C5609F06E90979AFD5AE4765C9

/01 Getting Started/

001 Introduction.mp4

47.8 MB

/02 Advanced Linear Regression Techniques/

002 Introduction to Stepwise Regression.mp4

10.8 MB

003 Our Practical Example.mp4

5.2 MB

004 Executing the Stepwise Regression Method.mp4

10.3 MB

005 Interpreting the Results of the Stepwise Method.mp4

25.9 MB

006 Executing the Forward Selection Regression.mp4

3.2 MB

007 Interpreting the Results of the Forward Selection Method.mp4

14.7 MB

008 Executing the Backward Selection Regression.mp4

3.4 MB

009 Interpreting the Results of the Backward Selection Method.mp4

13.9 MB

010 Comparing Nested Models Using the Remove Method.mp4

9.2 MB

011 Executing the Regression Analysis with the Remove Method.mp4

8.0 MB

012 Interpreting the Results of the Remove Method.mp4

9.6 MB

/03 Nonlinear Regression Analysis/

013 Types of Nonlinear Functions.mp4

6.4 MB

014 An Important Classification of the Nonlinear Relationships.mp4

9.8 MB

015 Performing a Quadratic Regression in SPSS (1).mp4

19.5 MB

016 Performing a Quadratic Regression in SPSS (2).mp4

13.7 MB

017 Performing a Cubic Regression in SPSS (1).mp4

14.1 MB

018 Performing a Cubic Regression in SPSS (2).mp4

8.0 MB

019 Performing an Inverse Regression in SPSS (1).mp4

13.5 MB

020 Performing an Inverse Regression in SPSS (2).mp4

6.7 MB

021 Performing a Nonlinear Regression With an Exponential Relationship.mp4

10.7 MB

022 Performing a Nonlinear Regression With a Logistic Relationship.mp4

10.9 MB

/04 K Nearest Neighbor in SPSS/

023 Introduction to K Nearest Neighbor (KNN).mp4

7.8 MB

024 Selecting the Optimal Number of Neighbors.mp4

8.9 MB

025 Our Practical Example.mp4

6.2 MB

026 Performing the KNN technique.mp4

14.5 MB

027 Interpreting the results of the KNN analysis.mp4

30.4 MB

028 Finding the Optimal Number of Neighbors with Cross-Validation.mp4

5.9 MB

029 Interpreting the Cross-Validation Results.mp4

4.5 MB

030 Using the KNN Model for Future Predictions.mp4

21.3 MB

/05 Introduction to Decision Trees/

031 What Are Decision Trees.mp4

14.3 MB

032 Binary Trees (CART).mp4

10.9 MB

033 Non-Binary Trees (CHAID).mp4

9.5 MB

034 Advantages and Disadvantages of Decision Trees.mp4

2.6 MB

/06 Growing Binary Trees (CART) in SPSS/

035 Growing a Binary Regression Tree (CART).mp4

12.3 MB

036 Intepreting a Binary Regression Tree (1).mp4

19.7 MB

037 Intepreting a Binary Regression Tree (2).mp4

11.9 MB

038 Computing the R Squared.mp4

6.3 MB

039 Growing a CART Regression Tree with Cross-Validation.mp4

4.1 MB

040 Interpreting the Cross-Validation Results for a Regression Tree.mp4

6.1 MB

041 Growing a CART Classification Tree in SPSS.mp4

18.4 MB

042 Interpreting the CART Classification Tree.mp4

29.7 MB

043 Growing a CART Classification Tree with Cross-Validation.mp4

6.9 MB

044 Interpreting the Cross-Validation Results for a Classification Tree.mp4

10.2 MB

045 Using Binary Trees for Future Predictions.mp4

36.1 MB

/07 Growing Non-Binary Trees (CHAID) in SPSS/

046 Building a CHAID Regression Tree.mp4

9.7 MB

047 Interpreting a CHAID Regression Tree.mp4

21.8 MB

048 Growing a CHAID Regression Tree with Cross-Validation.mp4

8.9 MB

049 Building a CHAID Classification Tree.mp4

12.0 MB

050 Interpreting a CHAID Classification Tree.mp4

21.1 MB

051 Growing a CHAID Classification Tree with Cross-Validation.mp4

10.8 MB

052 Using Non-Binary Trees for Future Predictions.mp4

21.4 MB

/08 Introduction to Neural Networks/

053 The Architecture of an Artificial Neural Network.mp4

7.8 MB

054 What Happens Inside of a Neuron.mp4

5.6 MB

055 Activation Functions.mp4

6.3 MB

056 Neural Network Learning Process.mp4

6.6 MB

/09 Training a Multilayer Perceptron (MLP) in SPSS/

057 Building a Multilayer Perceptron.mp4

12.6 MB

058 Interpreting the Multilayer Perceptron.mp4

20.5 MB

059 Interpreting the ROC Curve.mp4

7.3 MB

060 Using the Multilayer Perceptron for Future Predictions.mp4

12.5 MB

/10 Training a Radial Basis Function (RBF) Neural Network in SPSS/

061 Building an RBF Neural Network.mp4

9.4 MB

062 Interpreting the RBF Network.mp4

10.9 MB

063 Using the RBF Network for Future Predictions.mp4

9.2 MB

/11 Two-Step Cluster Analysis/

064 What is Two-Step Clustering.mp4

8.9 MB

065 Executing the Two-Step Cluster Analysis.mp4

5.9 MB

066 Interpreting the Output of the Two-Step Cluster Analysis (1).mp4

18.1 MB

067 Interpreting the Output of the Two-Step Cluster Analysis (2).mp4

26.3 MB

068 Examining the Evaluation Variables.mp4

9.0 MB

069 Using Your Clustering Model for Future Predictions.mp4

12.4 MB

/12 Survival Analysis/

070 What Is the Survival Analysis.mp4

10.5 MB

071 Introduction to the Kaplan-Meier Method.mp4

4.7 MB

072 Introduction to the Cox Regression.mp4

8.1 MB

073 Our Practical Example.mp4

7.1 MB

074 Executing the Kaplan-Meier Procedure.mp4

9.3 MB

075 Interpreting the Results of the Kaplan-Meier Method (1).mp4

9.9 MB

076 Interpreting the Results of the Kaplan-Meier Method (2).mp4

6.5 MB

077 Executing the Cox Regression.mp4

16.5 MB

078 Interpreting the Cox Regression.mp4

11.9 MB

/13 Practical Exercises/

079 Practical Exercises for the Linear Regression.html

0.9 KB

080 Practical Exercises for the Nonlinear Regression.html

0.9 KB

081 Practical Exercises for the KNN Method.html

0.9 KB

082 Practical Exercises for the Regression Trees.html

0.9 KB

083 Practical Exercises for the Classification Trees.html

0.9 KB

084 Practical Exercises for the Neural Networks.html

0.9 KB

085 Practical Exercises for the Cluster Analysis.html

0.9 KB

086 Practical Exercises for the Survival Analysis.html

0.9 KB

/attached files/

079 Practice-01-linear-regression.pdf

77.7 KB

080 Practice-02-nonlinear-regression.pdf

77.2 KB

081 Practice-03-KNN.pdf

72.9 KB

082 Practice-04-regression-trees.pdf

66.9 KB

083 Practice-05-classification-trees.pdf

72.5 KB

084 Practice-06-neural-networks.pdf

71.9 KB

085 Practice-07-cluster.pdf

65.4 KB

086 Practice-08-survival.pdf

69.7 KB

/14 Download Your Resources Here/

087 Download Links.html

1.1 KB

/

[CourseClub.Me].url

0.0 KB

[DesireCourse.Net].url

0.1 KB

 

Total files 97


Copyright © 2024 FileMood.com