Skip to content

Latest commit

 

History

History
 
 

labs

README.md

Table of Examples

  • DSGo Workshop Oct2021 This is a workshop for Data Science Go conference attendees built around the employee attrition notebook in OCI Data Science. The user signs-up for, and configures, a new OCI Trial account tenancy and then completes an end-to-end workflow to build, train, deploy, and invoke a machine learning model used to predict employee attrition.

  • Employee Attrition This example is a modified version of the employee attrition notebook that is available in the OCI Data Science Notebook Session environment. The notebook provides an end-to-end workflow to build, ttrain, deploy, and invoke a machine learning model used to predict employee attrition.

  • Model Deployment This example highlights the deployment of a sklearn random forest model trained on synthetic data. The model is deployed programmatically with the OCI Python SDK and invoked with the same SDK.

  • Speech Commands In this example you use a convolutional neural network (CNN) to classify speech commands. The notebooks show how you can train a model with Keras and deploy the model using OCI Data Science Model Deployment.

  • X-ray Diagnostics The purpose of this example is to train a model that detects the presence of pneumonia in x-ray images of the chest area. The example showcases and end-to-end workflow for model building, training, and deployment.