We have our Flask backend at the back to handle magic (weather forecast logic) and we have our React frontend dealing with user interfaces. So, what are we missing here? Every great team needs a leader to bring teammates working together. Thus we need a service to align both backend and frontend. Here she comes, […]
Elastic Beanstalk with React Frontend and Flask Backend – Part 3 Read More »
So far, we have entered several Kaggle’s machine learning competitions. Most of the time, we use Kaggle’s free kernel to solve the puzzles. From the Deal Probability Prediction challenge, we reached the limit of Kaggle’s kernel — the 17 GB RAM limit, while we were training our model. When we added more training data or
AWS Tutorial: Deep Learning on Amazon Web Services Read More »
We have learnt how to build a weather forecast Flask app. We have learnt how to deploy the Flask app to a Raspberry Pi using Docker. But we mostly focus on deploying our app in a local machine or a private network. In order to step up our game, we are going to deploy the app globally
Amazon Tutorial: Deploy a Flask Docker image in ECS Read More »
