Forwarded from Pycode Hubb
Python eBook + 99 Projects with Source Code & Explanation ⤵️:
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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! ❤️🙏
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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
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Python eBook + 99 Projects with Source Code & Explanation ⤵️:
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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 🚀
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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....
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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
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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
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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]
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Forwarded from Pycode Hubb
AI & Data Scientist Roadmap.pdf
1.1 MB
AI & Data Scientist Roadmap ✌️
Don't forget to like ❤️ and share with friends so they can benefit too—completely free!
Thank You!
Don't forget to like ❤️ and share with friends so they can benefit too—completely free!
Thank You!
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Which of the following is NOT a valid way to create a set in Python?
Anonymous Quiz
20%
my_set = {1, 2, 3}
15%
my_set = set([1, 2, 3])
23%
my_set = set((1, 2, 3))
42%
my_set = [1, 2, 3]
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📍 Python Roadmap for Beginners
|_ 🐍 Introduction to Python
|_ 📦 Modules, Comments, & Pip
|_ 🔢 Variables, Data Types, Keywords & Operators
|_ 📊 Python Data Types in Detail
|_ 🔁 Flow Control in Python
|_ 🔄 Loops in Python
|_ 📝 String Operations (Advanced)
|_ 🏗 Functions in Python
|_ 📂 File Handling in Python
|_ 🏛 Object-Oriented Programming (OOP)
|_ ⚠️ Exception Handling
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👉 [python-ebook-download]
|_ 🐍 Introduction to Python
|_ 📦 Modules, Comments, & Pip
|_ 🔢 Variables, Data Types, Keywords & Operators
|_ 📊 Python Data Types in Detail
|_ 🔁 Flow Control in Python
|_ 🔄 Loops in Python
|_ 📝 String Operations (Advanced)
|_ 🏗 Functions in Python
|_ 📂 File Handling in Python
|_ 🏛 Object-Oriented Programming (OOP)
|_ ⚠️ Exception Handling
📌 Want to master Python? Grab this Python eBook + 99 Project Collection here:
👉 [python-ebook-download]
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Uploading Your Project to GitHub – Step by Step!
Want to put your project on GitHub but don’t know where to start? Follow this structured roadmap:
|_ 🏁 Open your GitHub Account
|_ 📂 Create a New Repository
|_ ✏️ Name Your Repository
|_ 🔒 Set Visibility (Public/Private)
|_ ✅ Click 'Create Repository'
|_ 💻 Open Terminal (CMD/Powershell)
|_ 📂 Navigate to Your Project (
|_ 🔧 Initialize Git (
|_ 📌 Stage Changes (
|_ 📝 Commit Your Changes
|_ 🔗 Copy Repository URL from GitHub
|_ 🔄 Link Local Repo
|_ 🚀 Push Project
Want a detailed explanation for each step? Check out this post: 👇
Instagram.com/how-to-upload-your-project-on-github
Want to put your project on GitHub but don’t know where to start? Follow this structured roadmap:
|_ 🏁 Open your GitHub Account
|_ 📂 Create a New Repository
|_ ✏️ Name Your Repository
|_ 🔒 Set Visibility (Public/Private)
|_ ✅ Click 'Create Repository'
|_ 💻 Open Terminal (CMD/Powershell)
|_ 📂 Navigate to Your Project (
cd <your-path>) |_ 🔧 Initialize Git (
git init) |_ 📌 Stage Changes (
git add .) |_ 📝 Commit Your Changes
|_ 🔗 Copy Repository URL from GitHub
|_ 🔄 Link Local Repo
|_ 🚀 Push Project
Want a detailed explanation for each step? Check out this post: 👇
Instagram.com/how-to-upload-your-project-on-github
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