https://github.com/incubated-geek-cc/your-custom-app-name

Tutorial to deploy a ML Model to Heroku with Flask web application.
https://github.com/incubated-geek-cc/your-custom-app-name

flask-application machine-learning ml-web-app predictive-analysis predictive-modeling regression-models webapp

Last synced: about 1 year ago
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Tutorial to deploy a ML Model to Heroku with Flask web application.

• Host: GitHub
• URL: https://github.com/incubated-geek-cc/your-custom-app-name
• Owner: incubated-geek-cc
• Created: 2021-01-19T08:22:02.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-10-03T17:50:49.000Z (almost 4 years ago)
• Last Synced: 2025-03-06T01:48:48.660Z (over 1 year ago)
• Topics: flask-application, machine-learning, ml-web-app, predictive-analysis, predictive-modeling, regression-models, webapp
• Language: HTML
• Homepage: https://your-custom-app-name.onrender.com/
• Size: 23.4 KB
• Stars: 7
• Watchers: 1
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# your-custom-app-name

#### What this is - A demonstration/tutorial on deploying a python Machine Learning model to Heroku via Flask 

![ml_life_cycle](https://github.com/incubated-geek-cc/mental-healthcare-predictors/blob/main/ml_life_cycle.png)

#### Full article can be found at: [Towards Data Science](https://towardsdatascience.com/deploy-your-python-machine-learning-models-on-heroku-in-3-steps-dc5b6aca73d9)

#### Web application deployed at: https://your-custom-app-name.onrender.com/

* **Step 0a.** Create virtual environment by running: `virtualenv .env` 

* **Step 0b.** Double-click the `pip_install_requirements.bat` to install all required python packages stated in the `requirements.txt` file into the virtual environment created