Enhance notebooks with exercises and GPU support#5
Merged
Conversation
Update cell outputs after rerun and apply small markdown tweaks (badge/Colab note).
Rephrase the 'better than linear regression' note to be output-dependent.
Explain fixed hyperparameters for runtime and make the difference-model conclusion conditional on observed metrics.
Soften k-means/silhouette commentary to reference the plotted results and invite comparison across runs.
Frame correlation/outlier notes as hypotheses and qualify missing-data/PCA commentary based on the run.
Refresh notebook outputs and update train/test feature-label files produced by the rerun.
Update cell outputs to match the latest notebook run.
Refresh cell outputs after rerunning the notebook.
Update notebook outputs and regenerate prior/posterior/predictive plots.
Refresh outputs to match the latest execution.
Update notebook outputs to align with the latest run.
Clean up typos/phrasing, soften a hardcoded learning-rate claim, and add inline doc notes plus a References section.
Correct small wording issues and add inline doc notes plus a References section.
Standardize terminology and add inline scikit-learn refs plus a References section.
Clean up wording, improve scikit-learn section, and add inline doc notes plus a References section.
Clean up wording, replace placeholder metric note, and add inline references plus a References section.
Correct principal/anomalous typos, soften PCA conclusions to be output-dependent, and add a Hampel reference.
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
…inistic splits generated
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Add various downloads and mini-exercises to multiple deep learning notebooks. Introduce optional GPU flags and checks for improved performance. Refresh outputs and clarify content across notebooks to enhance user understanding and engagement. Fix typos and improve references for better documentation.