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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You can learn  Probability Distribution for Machine Learning with Python Visualization https://bit.ly/495L8b5

πŸ”— Link to Linear Regression https://bit.ly/46rqiBu

πŸ”— Link to Linear Algebra https://bit.ly/45EpfwB

πŸ”— Link to Telegram Group https://bit.ly/3IR1lnm

#python #machinelearning #projects #probability #epythonlab
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A New Mojo Programming Language for Machine Learning- Full Course for Beginners
https://youtu.be/pyfCTxKcDPY

Join #epythonlab https://t.me/epythonlab
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Forwarded from Epython Lab
Python POP QUIZ: What is the output of the following code?

πŸ‘‰Learn More Python Tips and Tricks: https://bit.ly/Pythontoptips

πŸ‘‰Join Telegram https://t.me/epythonlab/

#python #shorts #pythontricks #epythonlab
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Forwarded from Epython Lab
πŸ–₯ Which are positional arguments?

βž•Check out solution here:https://www.youtube.com/watch?v=K-u3vndXulg

πŸ‘‰Join Telegram https://t.me/epythonlab/

#python #shorts #pythontricks #epythonlab #projects
Forwarded from Epython Lab
πŸ–₯ Which are positional arguments?

βž•Check out solution here:https://www.youtube.com/watch?v=K-u3vndXulg

πŸ‘‰Join Telegram https://t.me/epythonlab/

#python #shorts #pythontricks #epythonlab #projects
Forwarded from Epython Lab
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What does if 'name=='main': do?

Learn More Python Tricks: https://bit.ly/45QI3JX

πŸ‘‰Join Telegram https://t.me/epythonlab/

#python #shorts #pythontricks #epythonlab
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Forwarded from Epython Lab
Create Dictionary Easy Made

πŸ‘‰Learn More Python Tips and Tricks: https://bit.ly/Pythontoptips

πŸ‘‰Join Telegram https://t.me/epythonlab/

#python #shorts #pythontricks #epythonlab
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πŸ–₯ What is the output of the following code?

βž•solution here:https://www.youtube.com/watch?v=jJv-aFaddNw

πŸ‘‰Join Telegram https://t.me/epythonlab/

#python #shorts #pythontricks #epythonlab #projects
πŸ‘1
Forwarded from Epython Lab
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
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This is a step by step web scrapping tutorials from scratch
πŸ‘‰Learn how to scrape data from any website for data analysis
https://www.youtube.com/playlist?list=PL0nX4ZoMtjYESrtqb0zrOoDkS5XskWB25

πŸ‘‰Join Telegram https://t.me/epythonlab/

#python #data #webscraping #epythonlab
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Forwarded from Epython Lab
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
πŸ‘5
Forwarded from Epython Lab
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
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Python is easy to learn ... but Hard to Master!
https://youtu.be/M7EwUvApaNU
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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
πŸ‘1
Forwarded from Epython Lab
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
πŸ‘4