100-Days-Of-ML-Code VS build-your-own-x

5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code

2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)

1️⃣ 100 Days Of ML Code

ML: 100-Days-Of-ML-Code

View on GitHub

✅ codecrafters-io/build-your-own-x : https://github.com/codecrafters-io/build-your-own-x

8) Build Your Own X: Unleash your inner inventor and embark on a journey of self-creation with this collection of project ideas for building your own software, tools, and even operating systems. Fuel your entrepreneurial spirit and learn valuable engineering principles by bringing your innovative ideas to life. (https://github.com/codecrafters-io/build-your-own-x)

Also if we can someone merge this level of detail/guidance with the projects on https://codecrafters.io/, i would easily pay for something like that.

Build your own X is another useful resource for a curious mind.

This is what you're looking for: Build your own X!