Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model
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Updated
Apr 14, 2019 - HTML
Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model
AWS Machine Learning Engineer Scholarship Program
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
A deployed RNN performing sentiment analysis on movie reviews complete with publicly accessible API and a simple web page which interacts with the deployed endpoint.
Modelling and prediction of default + deployment via AWS Sagemaker
This a repo for the projects I completed during my Deep Learning Udacity Nanodegree.
A Sentiment analysis web Application developed using AWS SageMaker's Machine Learning Workflow in Udacity’s Deep Learning Nanodegree
Utilitario para construir modelos de Machine Learning en AWS
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
This project utilizes AWS SageMaker to train an image classification model using a pretrained ResNet50. It includes hyperparameter tuning, profiling, and debugging. The model is deployed on an endpoint, and test images are used to evaluate its performance
AWS Sagemaker Ground Truth Scripts for Human Evaluation of Dialog Response Generation Models | Supports Amazon Mechanical Turk (MTurk) / Private in-lab study backend
Machine Learning Deployment using AWS SageMaker
Code and files associated with the Project called 'Plagiarism Detector', part of the Machine Learning Engineer Nanodegree at Udacity, School of AI. This project is the third of this Nanodegree, and is part of the module 'Machine Learning, Case Studies'.
Udacity's Machine Learning Nanodegree - Project 2- Plagiarism Detector
This repo contains the practical assignments from Udacitys Nanodegree programm "Natural Language Programming".
Code and files associated with the Project called 'Deploying a Sentiment Analysis Model', part of the Machine Learning Engineer Nanodegree at Udacity. This project is the second of this Nanodegree, and is part of the module 'Machine Learning in Production'
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