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Download [FreeCoursesOnline.Me] PacktPub - Hands-On Machine Learning for dotNET Developers

FreeCoursesOnline Me PacktPub Hands On Machine Learning for dotNET Developers

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[FreeCoursesOnline.Me] PacktPub - Hands-On Machine Learning for dotNET Developers

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Total Size

1.8 GB

Total Files

36

Last Seen

2025-06-20 23:38

Hash

97794EAB6014B24456E47F04CA46BDF4292D8DCC

/0. Websites you may like/

0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url

0.4 KB

1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url

0.3 KB

3. (FTUApps.com) Download Cracked Developers Applications For Free.url

0.2 KB

How you can help our Group!.txt

0.2 KB

/1.Finding the Best Price on Laptops Using Price Prediction (Regression)/

01.The Course Overview.mp4

9.9 MB

02.Demo of the Application and How to Apply Machine Learning.mp4

12.9 MB

03.Installing the ML.NET Model Builder.mp4

7.1 MB

04.Automatically Generate a Model with the ML.NET Model Builder.mp4

7.9 MB

05.Using the Final Model in the Desktop Application.mp4

16.8 MB

06.Generating the Model Using the ML.NET CLI Tool.mp4

7.3 MB

/2.Determining Aggression in User Comments/

07.Demo of the Web API and the Wikipedia Aggression Dataset.mp4

7.3 MB

08.Digging into the Code Learn What a Training Pipeline Is.mp4

15.4 MB

09.Implementing a Pipeline for the Aggression Scorer.mp4

18.8 MB

10.Using the Custom Model in the Web API.mp4

22.6 MB

/3.Evaluating, Improving, and Retraining Your Model/

11.Evaluating Your Model.mp4

18.3 MB

12.Splitting the Data into Training and Test Sets.mp4

7.9 MB

13.Retraining the Model with More Data.mp4

19.4 MB

14.Evaluating with Cross-Validation.mp4

16.8 MB

/4.Classifying News into Subjects/

15.Multiclass Classification and the UCI News Dataset.mp4

12.3 MB

16.Using AutoML to Find a Suitable Model.mp4

12.8 MB

17.Building the Pipeline and Evaluating the Performance.mp4

13.6 MB

18.Explore the Effect of Imbalanced Data on the Metrics.mp4

16.2 MB

/5.Building a Recommender System/

19.The Restaurant Recommender.mp4

8.3 MB

20.Building the Restaurant Recommendation Model.mp4

11.8 MB

21.Exploring Hyper Parameters to Improve the Accuracy.mp4

44.0 MB

/6.Classifying Images Using TensorFlow 'Transfer Learning'/

22.Image Classification and Our Dataset.mp4

6.1 MB

23.Deep Learning and Transferring Learnings from TensorFlow.mp4

16.1 MB

24.Training the Custom Image Classification Model.mp4

22.4 MB

25.Using the Trained Model in the Desktop Application.mp4

10.0 MB

26.Speeding Up Model Training Using the GPU.mp4

25.1 MB

/7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/

27.What ONNX Is.mp4

6.5 MB

28.The FER+ ONNX Model.mp4

17.6 MB

29.Creating Our ONNX Pipeline.mp4

13.6 MB

30.Detecting Emotions in Images and Webcam.mp4

22.6 MB

31.Saving a ML.NET Model in ONNX Format.mp4

10.2 MB

/Exercise Files/9781800205024_Code/

SourceCode.zip

1.3 GB

 

Total files 36


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