#Colab Machine Learning

Machine learning relies heavily on mathematical foundations. #tech #ml #explore #fyp #ai

Here’s your full roadmap on how to get into machine learning. Comment “Roadmap” to get the pdf. Save and follow for more. #ai #machinelearning #coding #programming #cs

Want to start coding instantly with Google Colab? 🚀💻 This quick guide shows how to use Google Colab to run Python code online—no installation, no setup, completely free. Just open Colab, create a new notebook, and start coding with built-in libraries, GPU support, and easy file uploads. Perfect for beginners, students, data learners, or anyone stuck with a low-spec PC but big coding goals. 💾 Save, Share, Comment, Follow @techshan_404 for more daily coding tools, tech tips & productivity hacks! 🔥 #googlecolab #python #machinelearning #computertips #learntech

🚀 *No GPU? No problem.* You can now train and fine-tune LLMs directly from VS Code using a *free Google Colab runtime* 🤯 This workflow lets you: → Connect your fine-tuning notebooks to Colab → Train locally or on a free cloud GPU → Use tools like *Unsloth* to speed up training For builders, students, and startup teams working on AI products (like many of us experimenting with AI-driven tools, EDA automation, or ML pipelines 🚀), this removes one of the biggest barriers—*hardware access.* Huge credit to *@dr_cintas* for sharing this awesome guide 👏 👉 Guide Link: https://t.co/W27h3ciVhh Follow @dr_cintas for more. If you want more practical AI gems and real-world use cases, join the free newsletter with daily tutorials and latest AI news: 👉 http://simplifyingai.co 💡 Whether you're building LLM features, experimenting with AI copilots, or exploring new workflows for your next startup idea, tools like this can dramatically speed up learning and prototyping. --------------------------------------------------- #AI #ArtificialIntelligence #MachineLearning #LLM #DeepLearning #AItools #TechReels #StartupLife #Developers #Coding #Python #VSCode #GoogleColab #OpenSource #FutureOfWork #Innovation #TechInnovation #BuildInPublic #LearnAI #AICommunity #AIRevolution #Automation #TechNews #ViralTech

Do you think we can build a solid model at the end of this year? #formula1 #machinelearning #programming

Comment “ML” and I’ll send you the links. You don’t need overpriced AI courses to break into machine learning. Some of the best ML and LLM resources are free, open-source, and built by top engineers and researchers. 📌 5 High-Impact GitHub Repos to Master Machine Learning & AI: 1️⃣ ML-For-Beginners A structured, beginner-friendly roadmap covering machine learning fundamentals like regression, classification, clustering, and model evaluation. Perfect if you want a guided introduction to ML without jumping between random tutorials. 2️⃣ bitsandbytes Learn 8-bit and 4-bit quantization for large language models. Essential if you want to run or fine-tune LLMs efficiently on limited GPU memory using techniques like QLoRA and low-bit training. 3️⃣ LLMs-from-scratch Build large language models step by step to truly understand transformers, attention mechanisms, tokenization, and training loops. Ideal for developers who want to understand how GPT-style models actually work under the hood. 4️⃣ LangChain A framework for building AI agents, RAG pipelines, and LLM-powered applications. Connect models to tools, vector databases, APIs, and real-time data sources to create production-ready AI systems. 5️⃣ LoRA (Low-Rank Adaptation) A powerful method for parameter-efficient fine-tuning. Train massive models by updating only a small fraction of weights — reducing cost while keeping performance strong. These repos cover core AI skills like deep learning, transformers, quantization, LLM fine-tuning, retrieval-augmented generation (RAG), AI agents, and efficient model deployment. Whether you're preparing for an ML engineer role, building AI startups, experimenting with open-source LLMs, or leveling up your deep learning knowledge, these resources will dramatically accelerate your progress. Save this, share it, and start building real AI skills the smart way.

Corso gratuito su come Quantizzare un modello di machine learning! Prima cosa in questo video spiego cos'è la quantizzazione a cosa serve e teoricamente cosa implica. Successivamente andremo in un google colab notebook a fare degli esempi hands on quantizzando un large language model open source. #llm #chatgpt #ai #ia #intelligenzaartificiale #quantization

💻 Google Colab: A Game-Changer for Students & Professionals For anyone starting with Python, Data Science, or Machine Learning, Google Colab is one of the most powerful (and free) tools available. 🚀 ✅ Run Python code directly in your browser ✅ No installation or setup required ✅ Access to GPUs for faster model training ✅ Perfect for collaboration on projects & research We introduce our students to tools like Google Colab so they gain hands-on experience with the same platforms used in the industry. 👉 Have you tried Google Colab yet? Share your experience in the comments! #GoogleColab #DataScience #MachineLearning #ArtificialIntelligence #PythonCoding #FutureSkills #CareerGrowth #PlacementReady #StudentOpportunities

I’ve been asked many times where to start learning ML, so after talking to so many experts in this field, this is a good place to start. Comment down below “TRAIN” and I’ll send you a more in-depth checklist along with the best GitHub links to help you start learning each concept. If you don’t receive the link you either need to follow first then comment, or your instagram is outdated. Either way, no worries. send me a dm and I’ll get it to you ASAP. #cs #ai #dev #university #softwareengineer #viral #advice #machinelearning

Machine Learning Projects with implementation 👨‍💻💡 Get access to 150+ machine learning projects with step-by-step guides for all skill levels. Whether you’re a beginner or an expert, these projects cover everything from predictive analytics and image classification to sentiment analysis and anomaly detection. Each project includes: • Practical Implementation: Real-world applications with easy-to-follow code. • Customizable Ideas: Modify projects to fit your learning goals. • Diverse Domains: NLP, computer vision, recommendation systems, and more. Comment Projects and I’ll share the link directly! Start building and leveling up your ML skills now! [Machine Learning, ML Projects, Deep Learning, Data Science, AI Projects, Data Science Projects, Python , Data Analytics] #MachineLearning #MLProjects #DataScience #AIProjects #DeepLearning #DataScienceProjects #ArtificialIntelligence #MachineLearningProjects #AI #TechSkills #LearnAI #projects #hiring #aasifcodes #jobs

You can now train LLMs in VS code for FREE via Colab & Unsloth AI. They made a guide to connect any fine-tuning notebook in VS Code to a Google Colab runtime. You can train locally or on a free Google Colab GPU. VS Code guide: https://unsloth.ai/docs/get-started/install/vs-code Github Repo: https://github.com/unslothai/unsloth 🎬 Unsloth AI

Day 3 of Day 15 Fundamental NLP😉 . I combined my day 1 and day 2 of NLP learning into one Google Colab project, which I have learned about different methods of tokenisation, stemming and lemmatisation. . Day 3 is about sentiment analysis using transformer models, but I’m trying to learn about TF-IDF as well and trying to build my own sentiment analysis model. Day 3 is going to be 2 days I guess 😅 . More to come! I’m working on my startup but still being able to learn and progress everyday day, which is enough 😎 . I’m a self taught software engineer turned startup founder, trying to learn machine learning and deep learning 🤓 . Follow my journey! . All the best for you 😎 . For partnership, please email [email protected] . . #coding #artificialintelligence #ai #machinelearning #ml #productivity #motivation #python #learntocode #coding #code #tech #technology #startup #startuplife #entrepreneur #entrepreneurship #reelsinstagram #reels #study #studygram #futuretechnology #coursetosuccess