Machine Learning Deployment in Production with AWS SageMaker

This repo demonstrates how machine learning models can be trained, deployed, and updated in production with AWS SageMaker. It is a work in progress.
This work is a collection of several projects as structured below.

1. Sentiment Analysis
2. Price Prediction
3. Population Segmentation
4. Payment Fraud Detection
5. Time Series Forecasting
   

Following is an example Web App from one of the projects above. Notice that the outcome is from a poor model.

This repo is part of my work for the Udacity Machine Learning deployment nanodegree program.