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Download /[Lynda] Applied Machine Learning - Foundations/[Lynda] Applied Machine Learning - Foundations/1.Introduction/04.Using the exercise files.mp4

Lynda Applied Machine Learning Foundations

Lynda Applied Machine Learning Foundations Introduction 04 Using the exercise files mp4

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[Lynda] Applied Machine Learning - Foundations

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Total Size

399.2 MB

Total Files

37

Hash

618897021FBA0EEA000F38E4EB533BDDB087A150

/[Lynda] Applied Machine Learning - Foundations/1.Introduction/04.Using the exercise files.mp4

3.2 MB

/[Lynda] Applied Machine Learning - Foundations/1.Introduction/03.What tools you need.mp4

1.7 MB

/[Lynda] Applied Machine Learning - Foundations/1.Introduction/02.What you should know.mp4

4.7 MB

/[Lynda] Applied Machine Learning - Foundations/1.Introduction/01.Leveraging machine learning.mp4

20.1 MB

/[Lynda] Applied Machine Learning - Foundations/7.Conclusion/36.Next steps.mp4

6.5 MB

/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/07.Why Python.mp4

12.7 MB

/[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/27.Regularization.mp4

4.6 MB

/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/33.Tune hyperparameters.mp4

19.0 MB

/[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/24.What is overfitting.mp4

4.8 MB

/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/10.Common challenges.mp4

9.4 MB

/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/28.Overview of the process.mp4

2.7 MB

/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/30.Clean categorical features.mp4

11.1 MB

/[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/23.What is underfitting.mp4

4.2 MB

/[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/25.Finding the optimal tradeoff.mp4

5.7 MB

/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/29.Clean continuous features.mp4

14.5 MB

 

Showing first 15 files of 37 total files


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