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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Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 68 151 obunachidan iborat bo'lib, Taʼlim toifasida 2 379-o'rinni va Hindiston mintaqasida 4 752-o'rinni egallagan.

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+8430 kun

2 845

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Muloqot nisbati

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Postlar arxiv

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Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN

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We have launched a support and donation campaign for our channel in order to improve the content and enrich it with more resources. You can donate to our channel using stars through this post. Thanks to everyone who contributes to improving our content, the benefit will be extended to all members

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Repost from Machine Learning

#MachineLearning Systems — Principles and Practices of Engineering Artificially Intelligent Systems: https://mlsysbook.ai/ open-source textbook focuses on how to design and implement AI systems effectively

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Linear Algebra The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning. Completely FREE. Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf

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Exercises in Machine Learning This book contains 75+ exercises Download, read, and practice: arxiv.org/pdf/2206.13446 GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises

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Repost from Machine Learning with Python

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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Find these FREE AI Courses here 👇 https://www.mltut.com/best-resources-to-learn-artificial-intelligence/

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📄 "Pandas Introduction to Advanced" booklet 👨🏻‍💻 You can't attend a #datascience interview and not be asked about Pandas! But you don't have to memorize all its methods and functions! With this booklet, you'll learn everything you need. ✔️ One of the most useful and interesting combinations is using #Pandas with #AWS Lambda, which can be very useful in real projects.

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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

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course lecture on building Transformers from first principles: https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0 The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch: https://github.com/xbresson/CS52422025/tree/main/labslecture07

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10 Must-Know Python Libraries for LLMs in 2025 Large language models (LLMs) are changing the way we think about AI. They help with #chatbots, text generation, and search tools, among other natural language processing tasks and beyond. To work with #LLMs, you need the right #Python libraries. In this article, we explore 10 of the Python libraries every developer should know in 2025. Read and learn: https://machinelearningmastery.com/10-must-know-python-libraries-for-llms-in-2025/ https://t.me/CodeProgrammer ✅

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🔥 Transformers Laid Out 📌 Guide

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https://t.me/addlist/8_rRW2scgfRhOTc0 Updates

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😍 New to AI agents? This free 10-part course on #GitHub will guide you from concept to #code as you start building #AI #agents: ⚡ Link: msft.it/6013qZ7Zb

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More likes please

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🔍 Free Data Analytics Courses by Microsoft 1. Get started with microsoft data analytics https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/ 2. Introduction to version control with git https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/ 3. Microsoft azure ai fundamentals https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

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"Introduction to Python Programming" This 415-pages #FREE book is perfect if you are starting your #Python journey. Download book: https://t.co/aMLeAQre6r