Machine Learning with Python

🗂 500+ Cheat Sheets on Machine Learning This repository contains materials on virtually everything: from basic algorithms and mathematics to neural networks, transformers, and advanced Deep Learning. Each cheat sheet includes theory, formulas, Python examples, and tips on how to apply them. ⛓ You can find it here https://github.com/gurovic/MLCheatSheets #MachineLearning #DeepLearning #Python #DataScience #NeuralNetworks #AI ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ J…

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🔖 Interactive CNN Layer-by-Layer Explanation With the CNN Explainer, you can learn about: 🫡 Input RGB channels; 🫡 Convolution; 🫡 ReLU; 🫡 Max Pooling; 🫡 Activation maps; 🫡 Flatten; 🫡 Softmax; 🫡 Final prediction. You can upload your own image and see how the network processes it step by step. ⛓ https://poloclub.github.io/cnn-explainer/

The 25 Best Free Resources for Learning AI in 2026 Learning artificial intelligence in 2026 is both easier and harder than it was a couple of years ago. Easier, because the best courses from Stanford and MIT, books by leading researchers, and hands-on lessons from Hugging Face are all openly available. Harder, because there is now far too much material, and the models and tools change every week. We have collected 25 proven free resources and arranged them by stage: from mathematics to LLMs, ag…

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🔖 637 interactive modules on ML and AI On VizLearn, you can visually explore: 🫡 Gradient descent; 🫡 SVM and PCA; 🫡 Bayes' theorem; 🫡 BPE tokenization; 🫡 Query, Key, and Value; 🫡 KV cache; 🫡 Quantization; 🫡 Neural networks and LLMs. Change the input data and immediately see the results of the calculations. ⛓️ Link to the tutorial https://enghusseinsheikho.substack.com/p/637-interactive-modules-on-ml-and?r=3hwnr8&utm_campaign=post&utm_medium=web

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🔥 Free IT & Dev Study Kits – 2026 Prep, No Signup If you’re prepping for cloud, dev, or AI roles this year, these free kits cover the gaps most people skip — cert basics, hands-on labs, and mock exams. No signup traps, no hidden fees. 📘 Cert E-Book — covers Cisco & AWS fundamentals, good for first-time cert takers → https://bit.ly/4yrk1Ti 🪜 Online Free Course — structured path, works as a refresher before exams → https://bit.ly/4hUprRP ☁️ Free AI Materials — LLM basics to fine-tuning practic…

⭐️ If you want to get dangerously good at generative AI, then save these 10 GitHub repos: 1️⃣ Generative AI for Beginners → https://github.com/microsoft/generative-ai-for-beginners 2️⃣ LLM Course → https://github.com/mlabonne/llm-course 3️⃣ Build a Large Language Model From Scratch → https://github.com/rasbt/LLMs-from-scratch 4️⃣ Prompt Engineering Guide → https://github.com/dair-ai/Prompt-Engineering-Guide 5️⃣ Awesome LLM Apps → https://github.com/Shubhamsaboo/awesome-llm-apps 6️⃣ O…

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If you want to get GOAT-level at software engineering, save & star these 10 GitHub repos: 1 System design academy ↳ https://github.com/systemdesign42/system-design-academy 2 Public APIs ↳ https://github.com/public-apis/public-apis 3 Tech interview handbook ↳ https://github.com/yangshun/tech-interview-handbook 4 Coding interview university ↳ https://github.com/jwasham/coding-interview-university 5 Engineering leadership ↳ https://github.com/gregorojstersek/resources-to-become-a-great-e…

Agentic AI is the future. If you want to become god-level with AI agents, save these 10 GitHub repos: 1 Awesome LLM Apps 🔗 https://github.com/Shubhamsaboo/awesome-llm-apps 2 Generative AI for Beginners 🔗 https://github.com/microsoft/generative-ai-for-beginners 3 LLM Course 🔗 https://github.com/mlabonne/llm-course 4 Prompt Engineering Guide 🔗 https://github.com/dair-ai/Prompt-Engineering-Guide 5 AI Agents for Beginners 🔗 https://github.com/microsoft/ai-agents-for-beginners 6 AI Agents…

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🔖 A Comprehensive Resource for Machine Learning Practice The platform offers: 🫡 1200+ machine learning tasks; 🫡 Mathematics, from linear algebra to PCA; 🫡 Deep Learning, NLP, and Computer Vision; 🫡 Labs with real datasets; 🫡 Learning paths and interview preparation; 🫡 Projects using GPT, RL, and CUDA. Almost everything can be accessed directly in your browser, and basic tasks are available for free. ⛓️ Link to the platform https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for…

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"Graph Theory with Applications" is a free textbook that provides a comprehensive introduction to graph theory and its practical applications. The book begins with basic concepts: graphs, subgraphs, paths, cycles, trees, and connectivity. It then moves on to more advanced topics: Eulerian and Hamiltonian graphs, matching, graph coloring, planar and directed graphs, network flows, and extremal graph theory. What is particularly useful is that the authors combine a visual, geometric, and topolog…