Getting data from webpage and transform it to structure format for data analysis is one of the skills that you need to have 🐍🐍

This is a step by step tutorials of scraping and transforming table data from website https://lnkd.in/dJzB36HQ

Join Telegram https://t.me/epythonlab/

#epythonlab #python #webscraping

This is a step by step web scrapping tutorials from scratch
👉Learn how to scrape data from any website for data analysis
https://www.youtube.com/playlist?list=PL0nX4ZoMtjYESrtqb0zrOoDkS5XskWB25

👉Join Telegram https://t.me/epythonlab/

#python #data #webscraping #epythonlab

Beginner's Guide to Python Programming. Getting started now: https://youtu.be/ISv6XIl1hn0

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

Join #epythonlab https://t.me/epythonlab

Join https://t.me/epythonlab for more learning resources

A New Mojo Programming Language for Machine Learning- Full Course for Beginners
https://youtu.be/pyfCTxKcDPY

Join #epythonlab https://t.me/epythonlab

I am excited to share with you the Python Programming for Beginners roadmap

Basic Python Programming: https://youtu.be/ISv6XIl1hn0

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

Join #epythonlab https://t.me/epythonlab

Join https://t.me/epythonlab for more learning resources

I am excited to share with you the Python Programming for Beginners roadmap

Basic Python Programming: https://youtu.be/ISv6XIl1hn0

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

Join #epythonlab https://t.me/epythonlab

Join https://t.me/epythonlab for more learning resources

Python is easy to learn ... but Hard to Master!
https://youtu.be/M7EwUvApaNU

💡 Researchers & Beginners in Python!

This step-by-step guide walks you through installing and setting up Python on Windows using the Microsoft Store, along with VS Code setup to get you coding in no time!

🔗 https://www.youtube.com/watch?v=EGdhnSEWKok

Like & share if you found this helpful!

#PythonForResearch #PythonSetup #DataScience #AI #MachineLearning #CodingForBeginners #ResearchTools #Academia #PythonOnWindows

How to Name Functions in Python | Python Function Naming Best Practices

https://youtu.be/PY22gyHjLW8

🚀 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

🚀 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