I never thought I could say this, but C++ is really cool language. I really needed to learn C to appreciate C++ because from Python perspective it seems shitty language as it has a lot of jargon in it. However, I have come to realize C is more straightforward than Python for someone who wants to think interms of what is going under the hood.
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“A people without the knowledge of their past history, origin and culture is like a tree without roots.” Marcus Garvey
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This are the interesting ones for today
- As someone who lived in rift valley for long time I didn't know you can see the rift from space! Btw FYI rift valley area is sth close to the idea of heaven❤️🔥Lemme brag it👀🤣
- Damn so Sahara was once like normal Savannah land and all of sudden Rain said Nah it's time for you to become the Driest land 👀Interesante!
@BeNN_Pi
- As someone who lived in rift valley for long time I didn't know you can see the rift from space! Btw FYI rift valley area is sth close to the idea of heaven❤️🔥Lemme brag it👀🤣
- Damn so Sahara was once like normal Savannah land and all of sudden Rain said Nah it's time for you to become the Driest land 👀Interesante!
@BeNN_Pi
😁7
Do you want to truly learn AI, not just understand it, but master it?
Courses and documentation are essential. They help you understand how the technology works.
But in the world of software and AI, real mastery comes from building.
If you’re serious about growing in AI, ML, and Data Science, here are some hands-on project repositories worth exploring (and starring ⭐):
🔹 30+ Machine Learning Projects
https://github.com/benasphy/ML_projects
🔹 25+ Data Science Projects
https://github.com/benasphy/Data_Science_Projects
🔹 20+ Deep Learning Projects
https://github.com/benasphy/DL_Projects
And if you want to build something actually cool 🤯
like a Checkers-playing AI agent using NEAT (neuroevolution) 🧠♟️
🔥 Check this out:
👉 https://github.com/benasphy/Checkers_Using_NEAT
Build projects.
Ship code.
That’s how you level up. 💡
Courses and documentation are essential. They help you understand how the technology works.
But in the world of software and AI, real mastery comes from building.
If you’re serious about growing in AI, ML, and Data Science, here are some hands-on project repositories worth exploring (and starring ⭐):
🔹 30+ Machine Learning Projects
https://github.com/benasphy/ML_projects
🔹 25+ Data Science Projects
https://github.com/benasphy/Data_Science_Projects
🔹 20+ Deep Learning Projects
https://github.com/benasphy/DL_Projects
And if you want to build something actually cool 🤯
like a Checkers-playing AI agent using NEAT (neuroevolution) 🧠♟️
🔥 Check this out:
👉 https://github.com/benasphy/Checkers_Using_NEAT
Build projects.
Ship code.
That’s how you level up. 💡
GitHub
GitHub - benasphy/ML_projects
Contribute to benasphy/ML_projects development by creating an account on GitHub.
🔥7
BeNN
Do you want to truly learn AI, not just understand it, but master it? Courses and documentation are essential. They help you understand how the technology works. But in the world of software and AI, real mastery comes from building. If you’re serious about…
I know it is a lot to ask, but I would really appreciate if you take time and star some of those projects, it means a lot for me! Let us reach 100 stars before 2027
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BeNN
Do you want to truly learn AI, not just understand it, but master it? Courses and documentation are essential. They help you understand how the technology works. But in the world of software and AI, real mastery comes from building. If you’re serious about…
Next would be C projects and Blockchain Projects(Solidity + Foundry).
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