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.
Research different online sources about different datasets that you could use to train a model. You can use some public API, the UCI repository for Machine Learning or the Kaggle section of datasets, among many other sources. Remember to look for a simple dataset as this is not the final project of the course.
Once you have found your ideal data set, analyze it and train a model. Optimize it if necessary.
With the knowledge acquired in this module, develop an interface to be able to use the model. Give it the style that suits you best and note the external resources you have used for the 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.