Artificial Intelligence for Trading Nanodegree Projects
-
Updated
Jun 22, 2022 - HTML
Artificial Intelligence for Trading Nanodegree Projects
MACHINE LEARNING / NLP / AMAZON SAGEMAKER: This an exemplary implementation of Web Application predicting if provided movie review is POSITIVE or NEGATIVE. This application uses Machine Learning model trained and deployed on Amazon SageMaker environment.
Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com
Machine Learning Deployment using AWS SageMaker
Sentiment Analysis Projects
Developed an Automated Twitter Response Tool for a focus in airline complaints using Kafka Streaming, LSTM, LDA, NRC Lexicon, and made analysis reports by using dataprep.ai
Add a description, image, and links to the lstm-sentiment-analysis topic page so that developers can more easily learn about it.
To associate your repository with the lstm-sentiment-analysis topic, visit your repo's landing page and select "manage topics."