For all the self-taught geeks out there, here our content library with most of the learning materials we have produces throughout the years.
It makes sense to start learning by reading and watching videos about fundamentals and how things work.
Machine Learning Engineering (16 weeks)
Full-Stack Software Developer
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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
Social & live learning
The most efficient way to learn: Join a cohort with classmates just like you, live streams, impromptu coding sessions, live tutorials with real experts, and stay motivated.
Don't forget to always be resourceful!
You will not be forking this time, please take some time to read this instructions:
Once you are finished deploying your flask app, make sure to commit your changes, push to your repository and go to 4Geeks.com to upload the web application link.
Now that you have learned what your final structure should look like, add the necessary files to the current project folder in order to have the correct structure, and edit the necessary ones.
Use the .pkl file (model) from the project of your preference to build a machine learning web application. For example, if you are using the Titanic model, it should request certain passenger features and predict if that passenger would survive or not.
Deploy your app to Heroku!
Use your Deploy model using Flask and Heroku lesson to guide you on every step.