Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Arpin pcakmeans kmeansbyom rbyo xgbdm #10

Closed
wants to merge 6 commits into from
Closed

Arpin pcakmeans kmeansbyom rbyo xgbdm #10

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
2782e16
Added: PCA k-means movie clustering example notebook
djarpin Nov 9, 2017
f1fb26e
Added: R bring your own algorithm notebook example
djarpin Nov 9, 2017
f57247c
Added: bringing your own model to k-means container notebook example
djarpin Nov 9, 2017
029e0e3
Merge branch 'master' of https://github.com/awslabs/PRIVATE-im-notebo…
djarpin Nov 13, 2017
01d7b1f
Merge branch 'master' of https://github.com/awslabs/PRIVATE-im-notebo…
djarpin Nov 15, 2017
457e47a
Added: PCA k-means movie clustering, k-means bring your own model, R …
djarpin Nov 15, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 8 additions & 5 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,17 +1,20 @@
# Amazon _IRONMAN_ Notebooks
# Amazon SageMaker Examples

This repository contains example notebooks showing how to apply machine learning and deep learning in Amazon [_IRONMAN_](https://aws.amazon.com/amazon-ai/).
This repository contains example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker(https://aws.amazon.com/amazon-ai/).

## Examples

### Introduction to Applying Machine Learning

- [XGBoost for Direct Marketing](xgboost_direct_marketing)
- [XGBoost for Direct Marketing](xgboost_direct_marketing) targets potential customers that are most likely to convert based on customer and aggregate level metrics.
- [PCA and k-means for Movie Clustering](pca_kmeans_movie_clustering) creates clusters of movies based on genre, ratings, and other characteristics.

### Amazon Algorithms - Basic Functionality

### Amazon Algorithms - Scientific Detail

### Advanced _IRONMAN_ Functionality
### Advanced Amazon SageMaker Functionality

- [Installing the R Kernel](install_r_kernel)
- [Installing the R Kernel](install_r_kernel) shows how to install the R kernel into an Amazon SageMaker Notebook Instance.
- [Bring Your Own Model for k-means](kmeans_bring_your_own_model) shows how to take a model that's been fit elsewhere and use Amazon SageMaker containers to host.
- [Bring Your Own Algorithm with R](r_bring_your_own) shows how to bring your own algorithm container to Amazon SageMaker using the R language.
3 changes: 3 additions & 0 deletions kmeans_bring_your_own_model/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
# Bring Your Own Model (k-means)

*kmeans_bring_your_own_model.ipynb:* shows how to fit a k-means model in scikit-learn and then inject it into Amazon SageMaker's first party k-means container for scoring. This addresses the use case where a customer has already trained their model outside of Amazon SageMaker, but wishes to host it for predictions within Amazon SageMaker.
Loading