Lynda Applied Machine Learning Foundations End to End Pipeline 35 Final model selection and evaluation on test set mp4

Lynda Applied Machine Learning Foundations
Lynda Applied Machine Learning Foundations End to End Pipeline 35 Final model selection and evaluation on test set mp4

Name	[Lynda] Applied Machine Learning - Foundations	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	399.2 MB
Total Files	37
Hash	618897021FBA0EEA000F38E4EB533BDDB087A150

/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/35.Final model selection and evaluation on test set.mp4	25.3 MB
/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/34.Evaluate results on validation set.mp4	19.4 MB
/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/31.Split data into train_validation_test set.mp4	10.2 MB
/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/32.Fit a basic model using cross-validation.mp4	15.6 MB
/[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/29.Clean continuous features.mp4	14.5 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/6.5. End-to-End Pipeline/33.Tune hyperparameters.mp4	19.0 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/4.3. Measuring Success/19.Split data for train_validation_test set.mp4	13.6 MB
/[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/21.Establish an evaluation framework.mp4	7.3 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/5.4. Optimizing a Model/22.Bias_Variance tradeoff.mp4	8.5 MB
/[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/23.What is underfitting.mp4	4.2 MB
/[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/10.Common challenges.mp4	9.4 MB
/[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/20.What is cross-validation.mp4	9.5 MB
Showing first 15 files of 37 total files