Machine Learning with Python

⚡️ Mistral Large 2 is here!

The model leads the Arena hard ratings. Impressive performance in writing code, understanding complex prompts and mathematics. The model outperforms the top models GPT-4 Turbo/Claude Opus!

Moreover, it is an open source model.

Blogpost : https://mistral.ai/news/mistral-large-2407/

Model weights: https://huggingface.co/mistralai/Mistral-Large-Instruct-2407

http://t.me/codeprogrammer ❤️

🔒 #Python #gpt4

🔹 Simplify data analysis with the Lux library

✅ The Lux tool is a Python library that easily and without the need for complex coding, identifies interesting patterns and trends in your data, even when you are dealing with large amounts of data!

⏪ Just show a data frame in Jupyter Notebook and Lux ​​will automatically suggest the best visualization methods for your data.

┌ 🏳️‍🌈 Lux
├ 📄 Documentation
└ 🐱 GitHub-Repos

http://t.me/codeprogrammer ❤️

🔒 #Python #DataVisualization

⚡️ Google Recaptcha Solver

Google reCAPTCHA solution tool.

Solves captcha in less than 5 seconds! 🚀

This is a Python script to solve the Google reCAPTCHA challenge using the DrissionPage library.

sudo apt-get install ffmpeg

☀️ Github

http://t.me/codeprogrammer ❤️

🔒 #Python #COURSES

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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✅ https://t.me/Python53

🖥 Get Started with Python

A good course on Python from Google.

More than 30 hours of relevant materials that will help you get into the topic.

Here the basic concepts of programming in Python and other features are discussed. Ideal if you have long wanted to try yourself in IT.

📌 Course

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🔒 #Python #COURSES

🗂 A collection of the best free courses

📝 For data science, data engineering, MLOps, ML and GenAI

💠 data science

1️⃣ Python for Everybody Course : A great course for beginners to learn Python.

2️⃣ Data analysis with Python course : This course introduces you to data analysis techniques with Python.

3️⃣ Databases & SQL course : You will learn how to manage databases with SQL.

4️⃣ Intro to Inferential Statistics course : This course teaches you how to make predictions by learning statistics.

5️⃣ ML Zoomcamp course : a practical and practical course for learning machine learning.


🔺 Data engineering

1️⃣ Data Engineering Course : Learn the basics of data engineering.

2️⃣ Data Engineer Learning Path course : a comprehensive road map to become a data engineer.

3️⃣ Database Engineer course : get a specialized degree in database engineering.

4️⃣ Big Data Specialization Course : Get to know big data technologies and their applications.

5️⃣ The Data Eng Zoomcamp course : a practical course to learn data engineering.


🔺 machine learning

1️⃣ Intro to ML course : an introductory and self-paced course to start machine learning.

2️⃣ ML for Everybody course : A simple approach to learning machine learning concepts.

3️⃣ ML in Python course : focus on machine learning with Python and Scikit-Learn.

4️⃣ ML Crash Course : A quick but comprehensive introduction to machine learning.

5️⃣ CS229 : ML : An advanced course for those who want to deepen their knowledge.


🔻 Machine Learning Operations (MLOps)

1️⃣ Python Essentials for MLOps course : an essential course for MLOps enthusiasts..

2️⃣ MLOps for Beginners Course : A great starting point for MLOps newbies.

3️⃣ ML Engineering Course : A set of courses for deep entry into the world of MLOps.

4️⃣ MLOps Specialization Course : Focus on operational aspects of machine learning.

5️⃣ Made With ML course : a special course that combines machine learning with practical applications.


🔹 Generative artificial intelligence

1️⃣ Generative AI for Beginners course : building generative artificial intelligence apps.

2️⃣ Generative AI Fundamentals course : getting to know the basic principles of generative artificial intelligence.

3️⃣ Intro to Gen AI course : from learning large language models to understanding the principles of responsible artificial intelligence.

4️⃣ Generative AI with LLMs course : Learn business applications of artificial intelligence with AWS experts in a practical way.

5️⃣ Generative AI for Everyone course : This course tells you what generative artificial intelligence is, how it works, and what uses and limitations it has.

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Public APIs

A collective list of API free

GitHub Repo:
https://github.com/public-apis/public-apis

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http://t.me/codeprogrammer ⭐️

☕️ Register in Coursera Free

🌟 Dive into Deep Learning - free book from Amazon researchers: Zhang, Li and others

A powerful 1,108-page book that details the implementation of ML and Deep Learning algorithms using PyTorch, NumPy/MXNet, JAX, and TensorFlow.

Lectures based on this book are given at 500 universities in 70 countries.

🟡 Dive into Deep Learning
🟡 PDF
🖥 GitHub with code for the book

http://t.me/codeprogrammer ⭐️

☕️ Register in Coursera Free

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📢 Zuckerberg Releases Free ChatGPT Competitor: Llama 3.1!

Mark Zuckerberg just launched Llama 3.1, a next-gen AI model with the largest dataset ever. Available in 8B, 70B, and 405B versions, it boasts a 128k token context size.

Key Highlights:

• Performance: Outperforms GPT-4o and Claude 3.5 in general knowledge, math, and translation.
• Accessibility: Downloadable by anyone, bringing advanced AI within reach.
• Strategic Move: Meta applies pressure on OpenAI with this open-source release. You probably now understand why OpenAI showed GPT-4o mini a week ago and made it so cheap - soon we will have very smart models that run very fast on any hardware.

Try It Now:

• on Hugging Face: Llama 3.1 on Hugging Face
• on NVIDIA's website: NVIDIA’s website

This release represents a major development in open-source AI, potentially allowing broader access to advanced language models.

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