Should I drop Deep Learning notes?
Deep Learning with Python & Deep Learning with PyTorch!
Drop a reaction if you want them—let’s aim for 150!
Deep Learning with Python & Deep Learning with PyTorch!
Drop a reaction if you want them—let’s aim for 150!
👍96❤10🔥10
Deep Learning Resources.zip
31.4 MB
Deep Learning Resources!
Thank you for the amazing response, everyone! 🎉
I’ll be sharing more notes, projects, and insights on the channel, so stay tuned! 🔥
📢 Exciting News! We’ve launched a free newsletter where you’ll get exclusive Python tips & insights delivered straight to your inbox every Friday! 🐍💡
💌 Subscribe for free and level up your coding skills! 🌱✨
👉 Click Here to Join 🚀
❤️ React to this post if you found it helpful—I’ve got more awesome content coming your way! 🚀
Thank you for the amazing response, everyone! 🎉
I’ll be sharing more notes, projects, and insights on the channel, so stay tuned! 🔥
📢 Exciting News! We’ve launched a free newsletter where you’ll get exclusive Python tips & insights delivered straight to your inbox every Friday! 🐍💡
💌 Subscribe for free and level up your coding skills! 🌱✨
👉 Click Here to Join 🚀
❤️ React to this post if you found it helpful—I’ve got more awesome content coming your way! 🚀
❤18👍8
Why Python is the Language of Tomorrow
Why Learning Python Today Sets You Up for Tomorrow
Have you ever wondered why Python is almost always the first language people recommend for beginners?
Click Here To Read Full Post
Why Learning Python Today Sets You Up for Tomorrow
Have you ever wondered why Python is almost always the first language people recommend for beginners?
Click Here To Read Full Post
❤12👍2👏1
Forwarded from Pycode Hubb
Python eBook + 99 Projects with Source Code & Explanation ⤵️:
»»»»Download Now«««««
»»»»Download Now«««««
👍7❤5
Machine Learning Handwritten Notes.pdf
17.3 MB
Machine Learning Handwritten Notes 📚
Don’t forget to react ❤️ if you’d like to see more content like this!
Thank you all for joining! ❤️🙏
Don’t forget to react ❤️ if you’d like to see more content like this!
Thank you all for joining! ❤️🙏
❤52👍11🔥6👀1
Level: Hard⚡️
print({True: 'A', 1: 'B', 1.0: 'C'}[1])
print({True: 'A', 1: 'B', 1.0: 'C'}[1])
Anonymous Quiz
20%
A) 'A'
31%
B) 'B'
9%
C) 'C'
41%
D) KeyError
😐16👍11🤯9❤6😁2
Python eBook + 99 Projects with Source Code & Explanation ⤵️:
»»»»Download Now«««««
»»»»Download Now«««««
❤4👍4
Which math topic do you think is the most important for Machine Learning? 🤔
Anonymous Poll
29%
A) Linear Algebra 🔢
52%
B) Probability & Statistics 📊
10%
C) Calculus 📈
9%
D) Optimization 🚀
👍9❤6
Learn NumPy from Scratch – Step by Step! (Part 1)
Getting Started with Data Science in Python
NumPy is one of the most essential Python libraries for data science, providing a powerful yet easy-to-use n-dimensional array. It serves as the foundation for many other data science and machine learning libraries, making it a must-learn for anyone stepping into this field.
Click Here to Continue Reading....
Getting Started with Data Science in Python
NumPy is one of the most essential Python libraries for data science, providing a powerful yet easy-to-use n-dimensional array. It serves as the foundation for many other data science and machine learning libraries, making it a must-learn for anyone stepping into this field.
Click Here to Continue Reading....
👍10❤5
Hello everyone,
I’ve received many requests for PDFs on different Python libraries. Currently, we have PDFs for Python and Pandas, but I’m working on more, including NumPy and Matplotlib etc! Once they are ready, I’ll update you.
In the meantime, if you’re looking for helpful resources, check out our Telegram channel, where I’ve shared some free materials available on the internet that you can try.
Stay tuned for more updates! 🚀
Best,
PyCode.hubb
I’ve received many requests for PDFs on different Python libraries. Currently, we have PDFs for Python and Pandas, but I’m working on more, including NumPy and Matplotlib etc! Once they are ready, I’ll update you.
In the meantime, if you’re looking for helpful resources, check out our Telegram channel, where I’ve shared some free materials available on the internet that you can try.
Stay tuned for more updates! 🚀
Best,
PyCode.hubb
❤17👍11
print(hash(1) == hash(1.0) == hash(True))
Anonymous Quiz
61%
A) True
24%
B) False
12%
C) Error
3%
D) None
🥱10👍8🔥3❤2
Do you want real-world datasets for your Data Science projects?
Anonymous Poll
96%
✅ Yes, that would be super helpful!
4%
❌ No, I’m good for now.
❤9🔥3👍1
Essential Real-World Datasets for Data Science Projects
Discover high-quality datasets to build, test, and enhance your data science skills with real-world applications.
Download Datasets For Projects
Discover high-quality datasets to build, test, and enhance your data science skills with real-world applications.
Download Datasets For Projects
👍8❤4🔥4
import numpy as np
arr = np.array([1, 2, 3, 4]) print(arr * arr > 4)
arr = np.array([1, 2, 3, 4]) print(arr * arr > 4)
Anonymous Quiz
36%
[False, False, True, True]
17%
[1, 0, 1, 1]
30%
Error
18%
[False, True, True, True]
❤8👍4😭4😁2🍌1