This repository collects the projects and code developed to complete the Machine Learning Engineer Nanodegree Program on Udacity.
| Project | Title | Description | AWS services used | Algorithms/Technologies |
|---|---|---|---|---|
| 1 | Deploy a Sentiment Analysis Model | This project includes to (1) deploy a model for predicting the sentiment of movie reviews as positive or negative; (2) create a web app which will send movie reviews to the deployed model |
SageMaker, Lambda function, API Gateway |
Long short-term memory (LSTM) recurrent neural network (RNN) using PyTorch |
| 2 | Deploy a Plagiarism Detector | This project aims to develop and deploy a plagiarism detector which classifies a text file as plagiarized or not | SageMaker | Linear Support Vector Machine (SVM) using scikit-learn |
| 3 | Capstone Project | This project consists of developing a machine learning engineer project to deliver an end-to-end solution to a problem of personal choice | SageMaker |
The notebooks provided in this repository are intended to be executed using Amazon's SageMaker platform.