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Discover powerful insights with Python, Machine Learning, Coding, and R—your essential toolkit for data-driven solutions, smart alg

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👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python repo with 196K stars.

✏️ It has a lot of organized and categorized code that you can use to find, read, and run different algorithms. Everything you can think of is here; from simple algorithms like sorting to advanced algorithms for machine learning, artificial intelligence, neural networks, and more.

Why should we use it?

🔢 For learning: If you're looking to learn algorithms in action, this is great.

🔢 For practice: You can take the codes, run them, and modify them to better understand.

🔢 For projects : You can even use the codes here in real-life or academic projects.

🔢 For interviews: If you're preparing for data science interviews, this is full of practical algorithms.


🏳️‍🌈 The Algorithms - Python
🐱 GitHub-Repos

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV #MIT

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15 ways to optimize neural network training

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV #MIT

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GANs clearly explained with visuals

This website provides a clear explanation
, Try it out yourself: poloclub.github.io/ganlab/

📂 Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN

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🪙 Everything you need to get started in machine learning.

Start with Python, explore scikit-learn, and neural networks using PyTorch. Perfect for beginners—get the skills you need to advance your career in just a few hours.

Start for free ▶️ ow.ly/HBtl50UtwCA

📂 Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN

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Arcade Academy - Learn Python 🖥

📖 Book

📂 Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN

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Machine Learning Algorithm basics!
Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN)

#MachineLearning #algorithms #ML #DataScience #ArtificialIntelligence #AI

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🖥 Large Language Model Course

The popular free LLM course has just been updated.

This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base.

The course is divided into 3 parts:
1️⃣ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks.
2️⃣ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks.
3️⃣ The LLM Engineer : Here you will learn how to write applications in a hands-on way and how to deploy them.

⭐️ 41.4k stars on Github

📌 https://github.com/mlabonne/llm-course

#llm #course #opensource #ml

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