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.
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Web scraping will never be the same!

Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications.

Here’s why it’s a game-changer:

πŸ†“ Free and open-source
⭐️ Blazing fast performance,
πŸ€– LLM-friendly output formats (JSON, cleaned HTML, markdown)
🌍 Supports crawling multiple URLs simultaneously
🎨 Extracts all media tags (Images, Audio, Video)
πŸ”— Extracts all external and internal links

But that’s not all:

πŸ“š Extracts metadata from pages
βœ… User-agent customization
βœ… Takes screenshots of pages
πŸ“„ Executes custom JavaScript before crawling

πŸ“‚ Tags: #python #ML #LLM

https://t.iss.one/codeprogrammer ⭐️
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Transformer by Hand ✍️ in 5 Minutes with Anna Rahn

πŸ“‚ Tags: #python #ML #Transformer

https://t.iss.one/codeprogrammer ⭐️
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Pandas ➑️ Polars ➑️ SQL ➑️ PySpark translations:

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πŸ“‚ Tags: #pandas #Polars #sql #Pyspark

https://t.iss.one/codeprogrammer ⭐️
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Yan Chen - Transformer: Attention by hand ✍️

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πŸ“‚ Tags: #ML #TRANSFORMER

https://t.iss.one/codeprogrammer ⭐️
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Transformer: Multi-Head Attention

Math vs Code πŸ‘¨β€πŸ’»

I made this visualization to show you how to implement the multi-head attention math in PyTorch within 50 LoC.

Multi-Head Attention is what makes the Transformer's performance outstanding.

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πŸ“‚ Tags: #ML #TRANSFORMER

https://t.iss.one/codeprogrammer ⭐️
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A mini application that I liked very much, I feel that it is suitable for me as a programmer

https://t.iss.one/owlsonton_bot/join?startapp=418788114
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8_Workbook_Hidden_Layer.pdf
195.1 KB
Hidden Layer
AI by Hand ✍️ Workbook - 25 Exercises πŸ‹οΈβ€β™€οΈ

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πŸ“‚ Tags: #ML #AI

https://t.iss.one/codeprogrammer ⭐️
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Hidden Layer
AI by Hand ✍️ Workbook - 25 Answers πŸ‹οΈβ€β™€οΈ

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πŸ“‚ Tags: #ML #AI

https://t.iss.one/codeprogrammer ⭐️
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@codeprogrammer Helpful Cheat Sheets Compilation.zip
5.2 MB
🀩 Helpful Cheat Sheets Compilation

Including Pandas, NumPy, Matplotlib, Seaborn, and others

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πŸ“‚ Tags: #ML #AI #Python

https://t.iss.one/codeprogrammer ⭐️
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Numpy Cheat sheet for Data Scientists

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πŸ“‚ Tags: #ML #Numpy #Python

https://t.iss.one/codeprogrammer ⭐️
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Similarity vs. Distance, illustrated using circles 🏡 by hand ✍️

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πŸ“‚ Tags: #ML #Python

https://t.iss.one/codeprogrammer ⭐️
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AI & ML Guided Projects with Python πŸ‘‘

Below is a list of guided projects to master AI & ML with Python that you should try ⭐

πŸ”— Link: https://thecleverprogrammer.com/2024/10/11/ai-ml-projects-with-python/

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πŸ“‚ Tags: #ML #Ai #Python

https://t.iss.one/codeprogrammer ⭐️
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25 Most Important Mathematical Definitions in Data Science

More details: https://blog.dailydoseofds.com/p/25-most-important-mathematical-definitions

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πŸ“‚ Tags: #ML #Ai #DataScience

https://t.iss.one/codeprogrammer ⭐️
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Multi-Query RAG by hand ✍️ + Langflow

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πŸ“‚ Tags: #ML #Ai #RAG #LLM

https://t.iss.one/codeprogrammer ⭐️
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explaining the concept of RAG (Retrieval-Augmented Generation) in a simple and easy-to-understand way.

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πŸ“‚ Tags: #ML #Ai #RAG #LLM

https://t.iss.one/codeprogrammer ⭐️
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Understanding RAG Part I: Why It’s Needed

Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed/

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πŸ“‚ Tags: #ML #Ai #RAG #LLM

https://t.iss.one/codeprogrammer ⭐️
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@codeprogrammer CS229 Lectures Notes (2023) %0A%0AAndrew Ng.pdf
3.2 MB
CS229 Lectures Notes (2023)

By: Andrew Ng & Tengyu Ma

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πŸ“‚ Tags: #ML #Ai #RAG #LLM

https://t.iss.one/codeprogrammer ⭐️
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Mathematics of an Artificial Neural Network

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πŸ“‚ Tags: #ML #Ai #RAG #LLM

https://t.iss.one/codeprogrammer ⭐️
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