For all the self-taught geeks out there, here is our content library with most of the learning materials we have produced throughout the years.
It makes sense to start learning by reading and watching videos about fundamentals and how things work.
Data Science and Machine Learning - 16 wks
Full-Stack Software Developer - 16w
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Curated list of small interactive and incremental exercises you can take to get better at any coding skill.
Curated section of projects to build while learning with simple instructions, videos, solutions, and more.
Guides on different topics related to the technologies that we teach in our courses
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Follow the instructions below:
Once you have finished solving the exercises, be sure to commit your changes, push to your repository and go to 4Geeks.com to upload the repository link.
In the Deployment with Flask module we search for a dataset and train a model that we later use in a web application developed in Flask and deploy in Render. In this project you can use the same model and change only the web application, or find another dataset and train a new model.
With the knowledge acquired in this module, develop an interface to be able to use the model. Style it as you see fit and note any external resources you have used for development.
Create a free service in Render and integrate the work you have done to be able to deploy the web application online. Don't forget to include the link to the service in your repository.