100-Days-Of-ML-Code VS project-based-learning

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

9. Practical-tutorials/project-based-learning - This repository provides links to project-based tutorials for various programming languages, with a focus on Python. It's a great way to gain practical experience and build your developer portfolio. https://github.com/practical-tutorials/project-based-learning

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Tired of the same old ideas or completely lost trying to find one? Check this great repo containing a bunch of different links to other lists of ideas!

There's a whole load of these listed here: https://github.com/practical-tutorials/project-based-learnin...

3) Project-Based Learning: Break free from the shackles of theoretical frameworks and dive headfirst into practical projects. This repository curates a diverse range of project ideas, from building basic web applications to creating intricate 3D games, all designed to solidify your understanding through hands-on experience. (https://github.com/practical-tutorials/project-based-learning)

4. Project Based Learning

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https://github.com/practical-tutorials/project-based-learning and https://github.com/Xtremilicious/projectlearn-project-based-learning