fa
Feedback
Epython Lab

Epython Lab

رفتن به کانال در Telegram

Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems. Buy ads: https://telega.io/c/epythonlab

نمایش بیشتر
6 216
مشترکین
-124 ساعت
-207 روز
-5230 روز
آرشیو پست ها

When I first tried to learn Machine Learning, I felt completely lost. https://medium.com/@epythonlab/how-i-learned-machine-le
When I first tried to learn Machine Learning, I felt completely lost. https://medium.com/@epythonlab/how-i-learned-machine-learning-the-fastest-way-eef2b37b2ebe

Read “Debugging and Troubleshooting in Python: A Developer’s Essential Guide“ by Epython Lab on Medium: https://medium.com/@e
Read “Debugging and Troubleshooting in Python: A Developer’s Essential Guide“ by Epython Lab on Medium: https://medium.com/@epythonlab/debugging-and-troubleshooting-in-python-a-developers-essential-guide-b3415f53b1e0

Read “Top 5 Python Mini Projects Inspired by Everyday Problems“ by Epython Lab on Medium: https://medium.com/@epythonlab/top-
Read “Top 5 Python Mini Projects Inspired by Everyday Problems“ by Epython Lab on Medium: https://medium.com/@epythonlab/top-5-python-mini-projects-inspired-by-everyday-problems-123200733698

Python Dictionary & Nested Dictionary Tutorial If you’re learning Python, one of the first data structures worth mastering is the dictionary. It’s simple, flexible, and shows up everywhere — from APIs to machine learning pipelines. Master Dictionary https://youtu.be/N3MNba41bfM Nested Dictionaries https://youtu.be/N3MNba41bfM

This new research from Meta introduces Matrix, a peer-to-peer framework where multiple AI agents collaboratively generate synthetic training data through decentralized interactions. Read

Excited to share some CLI-based Python Mini Projects perfect for beginners and enthusiasts looking to sharpen their skills: 📂 File Organizer – Keep your files neat and tidy 💰 Daily Expense Tracker – Track your spending easily ✅ Daily Habit Task Manager – Build consistent habits 🔒 Password Manager (Educational Purpose Only) – Learn secure storage basics 🤖 Digital Automation – Automate everyday tasks All projects are hands-on, simple, and perfect to strengthen your Python fundamentals. Check out the full code here: https://github.com/epythonlab2/python-mini-projects #Python #PythonProjects #CLIProjects #Automation #Coding #LearningPython #BeginnerProjects #DevCommunity

I’m slowly rebuilding my coding habits with small, practical projects. Today I finished a simple CLI-based Expense Tracker that stores everything in a CSV file and gives summaries by month, week, or category. It’s lightweight, beginner-friendly, and a good warm-up after some time away. Repo: https://github.com/epythonlab2/python-mini-projects/tree/master/expense_tracker

Python Lists vs Tuples Explained for Beginners | Clear and Simple Examples https://youtu.be/jB-8oaKiqWI

🚀 New Python Tutorial! How to convert List to Tuple https://youtu.be/CzmmdGT8LtA

Repost from Epython Lab
🚀 How to Become a Self-Taught AI Developer? AI is transforming the world, and the best part? You don’t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Here’s how you can do it: 1️⃣ Master the Fundamentals of Programming Start with Python, as it’s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank. 👉How to get started Python:https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q 👉Beginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz 👉Data Structures with Projects full tutorial for beginners https://www.youtube.com/watch?v=lbdKQI8Jsok 👉OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw 2️⃣ Build a Strong Math Foundation AI relies on: 🔹 Linear Algebra – Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls 🔹 Probability & Statistics – Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx 🔹 Calculus – Derivatives, gradients (used in optimization) 📚 Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare. 3️⃣ Learn Machine Learning (ML) Start with traditional ML before deep learning: ✔️ Supervised Learning – Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N ✔️ Unsupervised Learning – Clustering, PCA ✔️ Reinforcement Learning – Q-learning, deep Q-networks 🔗 Best course? Andrew Ng’s ML Course on Coursera. 4️⃣ Dive into Deep Learning Once comfortable with ML, explore: ⚡️ Neural Networks (ANNs, CNNs, RNNs, Transformers) ⚡️ TensorFlow & PyTorch (Industry-standard deep learning frameworks) ⚡️ Computer Vision & NLP Try Fast.ai or the Deep Learning Specialization by Andrew Ng. 5️⃣ Build Real-World Projects The best way to learn AI? DO AI. 🚀 💡 Train models with Kaggle datasets 💡 Build a chatbot, image classifier, or recommendation system 💡 Contribute to open-source AI projects 6️⃣ Stay Updated & Join the AI Community AI evolves fast! Stay ahead by: 🔹 Following Google AI, OpenAI, DeepMind 🔹 Engaging in Reddit r/MachineLearning, LinkedIn AI discussions 🔹 Attending AI conferences like NeurIPS & ICML 7️⃣ Create a Portfolio & Apply for AI Roles 📌 Publish projects on GitHub 📌 Share insights on Medium/Towards Data Science 📌 Network on LinkedIn & Kaggle No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and let’s build the future with AI. 🚀 Tagging AI learners & enthusiasts: What’s your AI learning journey like? Let’s connect!. 🔥👇 #AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught

🚀 New Python Tutorial! Tuples in Python  https://youtu.be/rB_cv9P0Cl4

🚀 New Python Tutorial! Loop vs List Comprehension https://youtu.be/n4TqnZQFeU4

Read “Cybersecurity Behind AI Agents: Safeguarding the Autonomous Digital Frontier“ by Epython Lab on Medium: https://medium.
Read “Cybersecurity Behind AI Agents: Safeguarding the Autonomous Digital Frontier“ by Epython Lab on Medium: https://medium.com/@epythonlab/cybersecurity-behind-ai-agents-safeguarding-the-autonomous-digital-frontier-58e82ea4cd75

🚀 New Python Tutorial! Python List Methods | Beginner-Friendly Tutorial with Real-World Examples https://youtu.be/KDZcMK7FoA0 https://youtu.be/a_Ok4uLt04U

🚀 New Python Tutorial! Python Lists | Beginner-Friendly Tutorial with Real-World Examples https://youtu.be/KDZcMK7FoA0

🚀 Machine Learning for Customer Churn Prediction https://youtu.be/da_xqw1oAD8 Understanding why customers leave is just as important as knowing why they stay. With machine learning, businesses can spot early signs of churn—like drop in activity or purchase frequency—and take action before it’s too late. Smarter retention starts with smarter prediction. 💡 #MachineLearning #CustomerChurn #AI #DataScience #BusinessIntelligence