Epython Lab
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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.

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πŸš€ 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.

πŸ‘‰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

πŸ‘‰Beginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz

πŸ‘‰Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

πŸ‘‰OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

2️⃣ Build a Strong Math Foundation

AI relies on:
πŸ”Ή Linear Algebra – Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
πŸ”Ή Probability & Statistics – Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
πŸ”Ή Calculus – Derivatives, gradients (used in optimization)

πŸ“š Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.

3️⃣ Learn Machine Learning (ML)

Start with traditional ML before deep learning:
βœ”οΈ Supervised Learning – Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
βœ”οΈ Unsupervised Learning – Clustering, PCA
βœ”οΈ Reinforcement Learning – Q-learning, deep Q-networks

πŸ”— 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. πŸš€
πŸ’‘ Train models with Kaggle datasets
πŸ’‘ Build a chatbot, image classifier, or recommendation system
πŸ’‘ Contribute to open-source AI projects

6️⃣ Stay Updated & Join the AI Community

AI evolves fast! Stay ahead by:
πŸ”Ή Following Google AI, OpenAI, DeepMind
πŸ”Ή Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
πŸ”Ή Attending AI conferences like NeurIPS & ICML

7️⃣ Create a Portfolio & Apply for AI Roles

πŸ“Œ Publish projects on GitHub
πŸ“Œ Share insights on Medium/Towards Data Science
πŸ“Œ 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. πŸš€

Tagging AI learners & enthusiasts: What’s your AI learning journey like? Let’s connect!. πŸ”₯πŸ‘‡

#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught
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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
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Excited to share some CLI-based Python Mini Projects perfect for beginners and enthusiasts looking to sharpen their skills:

πŸ“‚ File Organizer – Keep your files neat and tidy

πŸ’° Daily Expense Tracker – Track your spending easily

βœ… Daily Habit Task Manager – Build consistent habits

πŸ”’ Password Manager (Educational Purpose Only) – Learn secure storage basics

πŸ€– 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
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