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[FreeCoursesOnline.Me] Pluralsight - Building Machine Learning Solutions With Java - Learning Paths

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1.7 GB

Total Files

263

Last Seen

2025-07-17 00:26

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1E583CEEBD349BDB637553F1F6CC38A38C19F638

/0. Websites you may like/

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/1. Course Overview/

1. Course Overview.mp4

4.9 MB

1. Course Overview.vtt

1.7 KB

/.../2. Ingesting Data from Files in Various Formats/

1. Introduction.mp4

15.6 MB

1. Introduction.vtt

3.9 KB

2. What Is Data Preparation.mp4

2.0 MB

2. What Is Data Preparation.vtt

2.4 KB

3. Ingesting CSV and Excel Files.mp4

11.5 MB

3. Ingesting CSV and Excel Files.vtt

8.7 KB

4. Ingesting JSON and XML Files.mp4

7.9 MB

4. Ingesting JSON and XML Files.vtt

5.7 KB

5. Demo - Ingestion.mp4

30.1 MB

5. Demo - Ingestion.vtt

8.4 KB

6. Summary.mp4

1.1 MB

6. Summary.vtt

1.2 KB

/.../3. Automating Data Collection and Scheduling/

1. Introduction.mp4

12.6 MB

1. Introduction.vtt

3.2 KB

2. Folder Monitoring.mp4

10.1 MB

2. Folder Monitoring.vtt

9.2 KB

3. Task Scheduling.mp4

6.4 MB

3. Task Scheduling.vtt

4.8 KB

4. Demo - Using the File Watcher API.mp4

27.2 MB

4. Demo - Using the File Watcher API.vtt

8.2 KB

5. Demo - Using the Quartz Scheduler Library.mp4

25.9 MB

5. Demo - Using the Quartz Scheduler Library.vtt

7.0 KB

6. Selenium.mp4

5.9 MB

6. Selenium.vtt

5.1 KB

7. Demo - Using the Selenium IDE.mp4

6.9 MB

7. Demo - Using the Selenium IDE.vtt

2.5 KB

8. Demo - Coding for Selenium.mp4

28.3 MB

8. Demo - Coding for Selenium.vtt

7.7 KB

9. Summary.mp4

1.1 MB

9. Summary.vtt

1.2 KB

/.../4. Data Cleaning Using Regex and Formatter/

1. Introduction.mp4

12.3 MB

1. Introduction.vtt

3.0 KB

2. Lambdas and Streams.mp4

9.2 MB

2. Lambdas and Streams.vtt

9.0 KB

3. Regular Expressions Overview.mp4

7.8 MB

3. Regular Expressions Overview.vtt

5.3 KB

4. Using Regular Expressions in Java.mp4

8.9 MB

4. Using Regular Expressions in Java.vtt

7.4 KB

5. Demo - Data Cleaning Pipeline.mp4

20.6 MB

5. Demo - Data Cleaning Pipeline.vtt

7.7 KB

6. Summary.mp4

655.5 KB

6. Summary.vtt

0.6 KB

/5. Data Transformation/

1. Introduction.mp4

7.9 MB

1. Introduction.vtt

2.1 KB

2. Data Transformation Basics.mp4

7.8 MB

2. Data Transformation Basics.vtt

7.1 KB

3. Scaling, Data Skew, and Data Bias.mp4

10.3 MB

3. Scaling, Data Skew, and Data Bias.vtt

9.6 KB

4. Demo - Data Transformation Pipeline.mp4

36.0 MB

4. Demo - Data Transformation Pipeline.vtt

10.0 KB

5. Summary.mp4

837.8 KB

5. Summary.vtt

0.8 KB

/.../6. Data Preparation at Scale/

1. Introduction.mp4

14.6 MB

1. Introduction.vtt

3.6 KB

2. Distributed Data Pipelines.mp4

5.9 MB

2. Distributed Data Pipelines.vtt

5.3 KB

3. Beam SDK Concepts.mp4

7.2 MB

3. Beam SDK Concepts.vtt

5.7 KB

4. Beam SDK Engines and GCP Dataflow.mp4

9.9 MB

4. Beam SDK Engines and GCP Dataflow.vtt

9.2 KB

5. Demo - Developing Beam SDK Pipelines.mp4

35.9 MB

5. Demo - Developing Beam SDK Pipelines.vtt

8.6 KB

6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.mp4

14.2 MB

6. Demo - Deploying Beam SDK Pipelines to GCP Dataflow.vtt

6.4 KB

7. Summary.mp4

977.8 KB

7. Summary.vtt

0.9 KB

8. Wrap Up.mp4

2.9 MB

8. Wrap Up.vtt

0.6 KB

/1. Preparing Data for Machine Learning with Java/

exercise.zip

27.3 MB

playlist.m3u

2.3 KB

/1. Course Overview/

1. Course Overview.mp4

4.0 MB

1. Course Overview.vtt

2.4 KB

/.../2. Understanding the Java Machine Learning Ecosystem/

1. Version Check.mp4

384.9 KB

1. Version Check.vtt

0.0 KB

2. Introduction.mp4

6.8 MB

2. Introduction.vtt

5.5 KB

3. Demo - Weka Showcase.mp4

10.9 MB

3. Demo - Weka Showcase.vtt

5.7 KB

4. Demo - Deeplearning4j (DL4J) Showcase.mp4

15.5 MB

4. Demo - Deeplearning4j (DL4J) Showcase.vtt

5.1 KB

5. Demo - Spark MLlib Showcase.mp4

16.7 MB

5. Demo - Spark MLlib Showcase.vtt

4.4 KB

6. Summary.mp4

2.7 MB

6. Summary.vtt

2.7 KB

/.../3. Implementing a Machine Learning Workflow with Weka/

1. Introduction.mp4

7.9 MB

1. Introduction.vtt

5.6 KB

2. Demo - Data Preparation and Loading with Programmatic Weka.mp4

10.9 MB

2. Demo - Data Preparation and Loading with Programmatic Weka.vtt

4.1 KB

3. Demo - Data Preprocessing with Programmatic Weka.mp4

4.3 MB

3. Demo - Data Preprocessing with Programmatic Weka.vtt

1.7 KB

4. Demo - Implementing K-means with Programmatic Weka.mp4

3.8 MB

4. Demo - Implementing K-means with Programmatic Weka.vtt

1.4 KB

5. Demo - Evaluation and Visualization with Programmatic Weka.mp4

16.2 MB

5. Demo - Evaluation and Visualization with Programmatic Weka.vtt

4.9 KB

6. Demo - The Full Workflow in One Go with Weka GUI.mp4

11.4 MB

6. Demo - The Full Workflow in One Go with Weka GUI.vtt

5.6 KB

7. Summary.mp4

1.0 MB

7. Summary.vtt

0.9 KB

/.../4. Implementing a Machine Learning Workflow with DL4J/

1. Introduction.mp4

7.6 MB

1. Introduction.vtt

6.7 KB

2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).mp4

12.8 MB

2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).vtt

5.3 KB

3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.mp4

29.5 MB

3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.vtt

8.3 KB

4. Demo - Data Preprocessing with DL4J.mp4

33.5 MB

4. Demo - Data Preprocessing with DL4J.vtt

10.2 KB

5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.mp4

21.4 MB

5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.vtt

6.0 KB

6. Demo - Performance and Evaluation and Visualization with DL4J.mp4

6.9 MB

6. Demo - Performance and Evaluation and Visualization with DL4J.vtt

2.6 KB

7. Summary.mp4

1.2 MB

7. Summary.vtt

1.1 KB

/.../5. Implementing a Machine Learning Workflow with Spark MLlib/

1. Introduction.mp4

8.8 MB

1. Introduction.vtt

5.3 KB

2. Demo - Data Preparation and Loading with Spark MLlib.mp4

12.7 MB

2. Demo - Data Preparation and Loading with Spark MLlib.vtt

6.0 KB

3. Demo - Data Preprocessing with Spark MLlib.mp4

19.3 MB

3. Demo - Data Preprocessing with Spark MLlib.vtt

7.1 KB

4. Demo - Implementing an Image Classifier with Spark MLlib.mp4

6.0 MB

4. Demo - Implementing an Image Classifier with Spark MLlib.vtt

2.6 KB

5. Demo - Performance and Evaluation and Visualization with Spark .mp4

7.8 MB

5. Demo - Performance and Evaluation and Visualization with Spark .vtt

2.6 KB

6. Summary.mp4

966.0 KB

6. Summary.vtt

0.8 KB

/2. Exploring Java Machine Learning Environments/

exercise.zip

86.3 MB

playlist.m3u

2.6 KB

/.../02. Implementing Regression Models/

01. Version Check.mp4

528.6 KB

01. Version Check.vtt

0.0 KB

02. Prerequisites and Course Outline.mp4

3.8 MB

02. Prerequisites and Course Outline.vtt

3.4 KB

03. Introducing Weka.mp4

4.2 MB

03. Introducing Weka.vtt

3.4 KB

04. Demo - Environment and Project Setup.mp4

11.7 MB

04. Demo - Environment and Project Setup.vtt

5.7 KB

05. Demo - Exploring the Weka Workbench.mp4

15.7 MB

05. Demo - Exploring the Weka Workbench.vtt

7.4 KB

06. Demo - Loading and Exploring the Dataset.mp4

15.4 MB

06. Demo - Loading and Exploring the Dataset.vtt

5.4 KB

07. Demo - Training and Evaluating a Regression Model.mp4

19.0 MB

07. Demo - Training and Evaluating a Regression Model.vtt

7.1 KB

08. Demo - Training and Evaluating a Multiple Regression Model.mp4

26.0 MB

08. Demo - Training and Evaluating a Multiple Regression Model.vtt

7.1 KB

09. Demo - Feature Selection and Ranking.mp4

24.2 MB

09. Demo - Feature Selection and Ranking.vtt

9.4 KB

10. Demo - Processing and Saving Processed Data.mp4

21.3 MB

10. Demo - Processing and Saving Processed Data.vtt

6.3 KB

11. Demo - Evaluating a Model Using Cross Validation.mp4

8.1 MB

11. Demo - Evaluating a Model Using Cross Validation.vtt

2.7 KB

12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.mp4

12.4 MB

12. Demo - Regression Using Support Vector Machines and Multilayer Perceptrons.vtt

5.1 KB

13. Demo - Serializing and Visualizing a Decision Tree Model.mp4

21.9 MB

13. Demo - Serializing and Visualizing a Decision Tree Model.vtt

8.9 KB

/1. Course Overview/

1. Course Overview.mp4

4.2 MB

1. Course Overview.vtt

3.2 KB

/.../3. Implementing Classification Models/

1. Demo - Feature Selection and Data Processing.mp4

22.2 MB

1. Demo - Feature Selection and Data Processing.vtt

9.1 KB

2. Demo - Building and Evaluating a Classification Model.mp4

23.5 MB

2. Demo - Building and Evaluating a Classification Model.vtt

8.4 KB

3. Demo - Building and Visualizing a Decision Tree Model.mp4

15.4 MB

3. Demo - Building and Visualizing a Decision Tree Model.vtt

5.2 KB

4. Demo - Encoding Text Data in Numeric Form.mp4

24.0 MB

4. Demo - Encoding Text Data in Numeric Form.vtt

7.3 KB

5. Demo - Performing Classification on Text Data.mp4

24.9 MB

5. Demo - Performing Classification on Text Data.vtt

10.1 KB

/.../4. Implementing Clustering Models/

1. Demo - Normalizing and Visualizing Data.mp4

21.0 MB

1. Demo - Normalizing and Visualizing Data.vtt

8.7 KB

2. Demo - Performing K-means Clustering.mp4

13.0 MB

2. Demo - Performing K-means Clustering.vtt

5.3 KB

3. Demo - Visualizing Cluster Assignments.mp4

26.0 MB

3. Demo - Visualizing Cluster Assignments.vtt

8.0 KB

4. Demo - Exploring and Visualizing Data.mp4

10.4 MB

4. Demo - Exploring and Visualizing Data.vtt

4.7 KB

5. Demo - Performing Hierarchical Clustering.mp4

15.7 MB

5. Demo - Performing Hierarchical Clustering.vtt

7.0 KB

6. Demo - Performing EM Clustering.mp4

10.8 MB

6. Demo - Performing EM Clustering.vtt

5.1 KB

7. Demo - Serializing Trained Model Parameters.mp4

13.2 MB

7. Demo - Serializing Trained Model Parameters.vtt

4.6 KB

8. Demo - Deploying a Model Using SpringBoot.mp4

22.9 MB

8. Demo - Deploying a Model Using SpringBoot.vtt

9.5 KB

9. Summary and Further Study.mp4

2.7 MB

9. Summary and Further Study.vtt

2.5 KB

/3. Implementing Machine Learning Workflow with Weka/

exercise.zip

2.3 MB

playlist.m3u

2.3 KB

/.../02. Implementing Machine Learning Models with RapidMiner Studio/

01. Version Check.mp4

559.6 KB

01. Version Check.vtt

0.0 KB

02. Prerequisites and Course Outline.mp4

4.0 MB

02. Prerequisites and Course Outline.vtt

3.6 KB

03. Introducing RapidMiner.mp4

4.6 MB

03. Introducing RapidMiner.vtt

3.9 KB

04. Demo - Download and Setup RapidMiner.mp4

10.9 MB

04. Demo - Download and Setup RapidMiner.vtt

5.3 KB

05. Demo - Setting up a Repository and Importing Data.mp4

13.4 MB

05. Demo - Setting up a Repository and Importing Data.vtt

5.9 KB

06. Demo - Exploring the Dataset.mp4

20.0 MB

06. Demo - Exploring the Dataset.vtt

10.2 KB

07. Demo - Build and Evaluate a Linear Regression Model.mp4

16.4 MB

07. Demo - Build and Evaluate a Linear Regression Model.vtt

7.8 KB

08. Demo - Train Model on Training Data and Evaluate Using T.mp4

10.8 MB

08. Demo - Train Model on Training Data and Evaluate Using T.vtt

5.0 KB

09. Demo - Perform Attribute Selection.mp4

11.9 MB

09. Demo - Perform Attribute Selection.vtt

5.5 KB

10. Demo - Evaluate a Model Using Cross-validation.mp4

15.7 MB

10. Demo - Evaluate a Model Using Cross-validation.vtt

6.5 KB

11. Demo - Assign Roles and Perform Attribute Selection.mp4

17.3 MB

11. Demo - Assign Roles and Perform Attribute Selection.vtt

7.5 KB

12. Demo - Train a Model with Normalized Data.mp4

19.5 MB

12. Demo - Train a Model with Normalized Data.vtt

9.1 KB

/.../03. Using JSAT to Implement Machine Learning Models/

01. Introducing JSAT.mp4

5.6 MB

01. Introducing JSAT.vtt

4.5 KB

02. Demo - Getting Set up with a Maven Project.mp4

16.8 MB

02. Demo - Getting Set up with a Maven Project.vtt

5.9 KB

03. Demo - Loading and Exploring Data.mp4

22.2 MB

03. Demo - Loading and Exploring Data.vtt

7.2 KB

04. Demo - Building and Training a Regression Model.mp4

17.1 MB

04. Demo - Building and Training a Regression Model.vtt

6.4 KB

05. Demo - Evaluating a Regression Model.mp4

12.7 MB

05. Demo - Evaluating a Regression Model.vtt

4.9 KB

06. Demo - Training and Evaluating a Ridge Regression Model.mp4

12.7 MB

06. Demo - Training and Evaluating a Ridge Regression Model.vtt

5.2 KB

07. Demo - Building and Evaluating a Logistic Regression Classification .mp4

22.7 MB

07. Demo - Building and Evaluating a Logistic Regression Classification .vtt

8.3 KB

08. Demo - Building and Evaluating a Decision Tree Classification Model.mp4

6.7 MB

08. Demo - Building and Evaluating a Decision Tree Classification Model.vtt

2.6 KB

09. Demo - Performing Clustering and Evaluating Clustering Models.mp4

22.1 MB

09. Demo - Performing Clustering and Evaluating Clustering Models.vtt

8.6 KB

10. Demo - Serializing and Deserializing Trained Models.mp4

15.0 MB

10. Demo - Serializing and Deserializing Trained Models.vtt

5.6 KB

11. Demo - Making Predictions Using a Deployed Model.mp4

16.1 MB

11. Demo - Making Predictions Using a Deployed Model.vtt

8.5 KB

/.../04. Using DJL to Implement Machine Learning Models/

01. Introducing DJL.mp4

5.7 MB

01. Introducing DJL.vtt

4.6 KB

02. Brief Overview of Neural Networks.mp4

5.4 MB

02. Brief Overview of Neural Networks.vtt

4.4 KB

03. Demo - Setting up the Maven Project and Dependencies.mp4

5.5 MB

03. Demo - Setting up the Maven Project and Dependencies.vtt

2.4 KB

04. Demo - Building a Fully Connected Neural Network for Image Classifica.mp4

14.2 MB

04. Demo - Building a Fully Connected Neural Network for Image Classifica.vtt

8.7 KB

05. Demo - Training the Image Classification Model.mp4

9.4 MB

05. Demo - Training the Image Classification Model.vtt

4.8 KB

06. Demo - Performing Predictions Using the Classification Model.mp4

18.2 MB

06. Demo - Performing Predictions Using the Classification Model.vtt

9.0 KB

07. Brief Overview of Transfer Learning.mp4

6.5 MB

07. Brief Overview of Transfer Learning.vtt

4.7 KB

08. Demo - Using a Pretrained Model for Image Classification.mp4

13.7 MB

08. Demo - Using a Pretrained Model for Image Classification.vtt

6.2 KB

09. Demo - Using a Pretrained Model for Image Segmentation.mp4

16.8 MB

09. Demo - Using a Pretrained Model for Image Segmentation.vtt

7.0 KB

10. Introducing Google BERT.mp4

2.4 MB

10. Introducing Google BERT.vtt

2.2 KB

11. Demo - Answering Questions with Google BERT.mp4

12.3 MB

11. Demo - Answering Questions with Google BERT.vtt

5.2 KB

12. Summary and Further Study.mp4

2.6 MB

12. Summary and Further Study.vtt

2.4 KB

/1. Course Overview/

1. Course Overview.mp4

4.2 MB

1. Course Overview.vtt

3.2 KB

/4. Implementing Machine Learning Workflow with RapidMiner/

exercise.zip

4.6 MB

playlist.m3u

3.8 KB

/

FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url

0.3 KB

 

Total files 263


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