Deploying of a Sentiment Analysis Model of movies reviews using the IMDB dataset on Amazon's SageMaker platform.
-
Updated
Mar 25, 2019 - Jupyter Notebook
Deploying of a Sentiment Analysis Model of movies reviews using the IMDB dataset on Amazon's SageMaker platform.
Machine Learning projects
Mission: Predictable, a virtual Machine Learning Hackathon (WWCode Data Science)
deploy and manage your own ML time series model(using LSTM) with CloudFormations, Lambda, S3, SageMaker
Examples for importing existing/pre-trained models into SageMaker hosting
Demonstration of a MLOps workflow with a Human Activity Recognition project with AWS SageMaker
Example Python smaples for running your local code as a SageMaker training job using @Remote decorator
Project for Deep Learning Nanodegree, unit 6 (Deploying a Model).
How to use different AWS frameworks together
Movie sentiment analysis utilizing PyTorch RNN on Sagemaker for deployment & hosting.
Udacity - MachineLearning Engineer - Nanodegree Programm Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker
This repo contains the first project of Udacity Machine Learning Engineer NanoDegree program.
An AWS Sagemaker project that develops a regression model to predict bike demand.
VS code template for sagemaker remote development in windows
Add a description, image, and links to the sagemaker topic page so that developers can more easily learn about it.
To associate your repository with the sagemaker topic, visit your repo's landing page and select "manage topics."