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.
Inside this repository, you will find a file called
./notebook/problems.ipynb with the exercises you need to finish to complete it.
The easiest way to start working on this project is by using Gitpod:
problems.ipynbfile and start solving each exercise inside the notebook.
Once you are finished solving the exercises make sure to commit your changes, push to your repository fork and go to 4Geeks.com to upload the repository link.
We also incorporated the solutions files
./notebook/*-solution[n].ipynb that we strongly suggest you only use if you are stuck for more than 30min or if you have already finished and want to compare it with your approach.