👨🏻💻 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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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
Don't forget to React❤️ to this msg if you want more content Like this 👍
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This website provides a clear explanation, Try it out yourself: poloclub.github.io/ganlab/
Don't forget to React
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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
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pandas Project: Make a Gradebook With Python & pandas
Link: https://realpython.com/pandas-project-gradebook/
📂 Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN
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Link: https://realpython.com/pandas-project-gradebook/
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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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Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN)
#MachineLearning #algorithms #ML #DataScience #ArtificialIntelligence #AI
https://yangx.top/CodeProgrammer
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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:
#llm #course #opensource #ml
https://yangx.top/CodeProgrammer
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