Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
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This repository contains Jupyter notebooks for the O'Reilly book "Transformers: The Definitive Guide."

It includes code for computer vision tasks, time series analysis, audio processing, and reinforcement learning.

https://github.com/Nicolepcx/transformers-the-definitive-guide

https://t.me/MachineLearning9 🀩
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Forwarded from Free Online Courses
πŸŽ“ Deep Learning for Images with PyTorch: CNNs to GANs

#Data_Science
#DataCamp

🏫 Platform: DataCamp
πŸ†“ 100% FREE

━━━━━━━━━━━━━━━━━━━━
πŸ“ Course Details:
This advanced computer vision course delivers a hands-on exploration of PyTorch across all major vision tasks. From Convolutional Neural Networks (CNNs) for image classification to advanced segmentation masks and Generative Adversarial Networks (GANs), it prepares practitioners for complex computer vision engineering tasks.
Who It's For
Advanced PyTorch practitioners, computer vision engineers, and machine learning research engineers seeking deep technical expertise in image processing and synthesis.
Key Takeaways
β€’ CNNs & Object Detection: Train CNNs for binary and multi-class classification, leverage pre-trained models, and evaluate object detection using bounding boxes.
…

πŸ“’ Channel: https://t.me/Courses27
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πŸ”– Free book on graph theory

"Introduction to Graph Theory" by Darij Grinberg is an advanced resource with theorems, an algebraic approach, and plenty of exercises.

You can read it for free with an AI tutor.

β›“ Link to the book
https://chapterpal.com/ebook/473a1c1b-c584-4430-b986-cd9c57085e67
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Building a web scraper with Python?
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πŸ”– Python Reference for Data Science and Machine Learning

PY-DS-ML provides practical resources on 30 popular Python libraries for data analysis and machine learning.

You can quickly find the commands, syntax, and examples you need without having to search through extensive documentation.

It includes a search function, organization by difficulty level, cheat sheets, and checklists.

Link: https://py-ds-ml.ru/

#russian #ML
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The correct way to learn is like this:

You simply need to solve problems and work on projects.

This approach was used in one of the best books on the fundamentals of statistics – and, incidentally, one of the few that I actually read.

It's very simple:

You read a chapter.
You solve all the problems related to that topic.

https://www.statlearning.com/
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πŸ€” Mathos AI β€” a neural network for solving and learning mathematics!

This AI service helps you break down mathematical problems step-by-step, with explanations for each action. You can enter the problem as text, take a photo, or upload a PDF β€” Mathos will recognize the problem, suggest a solution, and, if necessary, create a graph. You can request not a ready-made answer, but only a hint, to continue solving the problem yourself.

πŸ“Œ Here's the link: mathos.ai

https://t.me/MachineLearning9
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πŸ€– A Practical Tip for ML Data Collection
When building a machine learning project, getting enough useful data is often just as important as the model itself.
If you're collecting public web data for a dataset, you may need to access the same source from different locations or test how location affects the data returned.
A residential proxy can help with this by routing your requests through IPs from different regions.
For example, with Python:
import requests

proxies = {
"http": "http://USER:PASSWORD@HOST:PORT",
"https": "http://USER:PASSWORD@HOST:PORT"
}

response = requests.get(
"https://example.com",
proxies=proxies
)

print(response.status_code)

Replace USER, PASSWORD, HOST, and PORT with your proxy credentials.

πŸš€ 711Proxy provides real residential IPs across 200+ countries and regions, with SOCKS5 support and sticky sessions β€” useful for data collection, testing, and other location-based ML workflows.

🎁 1GB free for testing
New users can use 711TRIAL to get 1GB of residential proxy traffic.
πŸ‘‰ https://www.711proxy.com
After registration, contact 711Proxy support and mention β€œ711TRIAL” to claim the trial.
Available to eligible new users.
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Machine Learning pinned Β«πŸ€– A Practical Tip for ML Data Collection When building a machine learning project, getting enough useful data is often just as important as the model itself. If you're collecting public web data for a dataset, you may need to access the same source from different…»