Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Understanding algorithms changes the way you write code. 🧠 This playlist teaches you exactly that: understanding.

Pavel Mavrin. 61 lectures. Free. πŸŽ“

Here's the difference:

Before understanding algorithms:
- You use hash tables for everything.
- You write the code first, then optimize it.
- You estimate the time complexity randomly.

After:
- You choose the appropriate data structure for the task.
- You think about complexity before writing the code.
- You learn an approach that is suitable for solving the problem.

What you will learn:
β†’ Time complexity and sorting.
β†’ Dynamic programming.
β†’ Advanced trees: segment tree, Fenwick tree, splay tree, link-cut tree.
β†’ Graph algorithms: traversals, shortest paths, flows.
β†’ String algorithms: substring search, suffix structures.
β†’ Fast Fourier Transform, linear programming, cryptography.

https://www.youtube.com/playlist?list=PLrS21S1jm43igE57Ye_edwds_iL7ZOAG4

https://xn--r1a.website/CodeProgrammer

#Algorithms #ComputerScience #Programming #DataStructures #Learning #Coding

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πŸ“š Download 10 Python books for FREE:

1. Think Python β€” O’Reilly
https://t.co/X7y3pX68IW

2. The Big Book of Small Python Projects
https://inventwithpython.com/bigbookpython/

3. Data Structures
https://opendatastructures.org/ods-python.pdf

4. Data Science Handbook
https://t.co/9aOLdiAbim

5. Data Analysis
https://wesmckinney.com/book/

6. Data Science
https://t.co/TusyBWGfrx

7. Machine Learning
https://t.co/7veOwESe8q

8. Statistics
https://t.co/waWDQylQpY

9. Think Bayes
https://allendowney.github.io/ThinkBayes2/

10. Clean Code in Python β€” Packt
https://t.co/OHhVgF1L65

#Python #FreeBooks #Programming #DataScience #MachineLearning #Coding

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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Forwarded from Machine Learning
πŸ”– A Comprehensive Resource for Machine Learning Practice

The platform offers:

🫑 1200+ machine learning tasks;
🫑 Mathematics, from linear algebra to PCA;
🫑 Deep Learning, NLP, and Computer Vision;
🫑 Labs with real datasets;
🫑 Learning paths and interview preparation;
🫑 Projects using GPT, RL, and CUDA.

Almost everything can be accessed directly in your browser, and basic tasks are available for free.

⛓️ Link to the platform
https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for-machine?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

#MachineLearning #DeepLearning #DataScience #AI #Coding #Tech

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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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