Machine Learning with Python
68K subscribers
1.27K photos
94 videos
158 files
924 links
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Download Telegram
πŸ”΄ Free Python course for GenAI


πŸ‘©πŸ»β€πŸ’» Guys , GenAI Community has created a free Python training course where you will learn both Python and its application in generative artificial intelligence!


✏️ The classes are live, but the videos of the classes are recorded and you can access them in your user panel. They last 10 to 12 weeks and are completely free!

βœ… If you want to learn Python from scratch and enter the world of Generative Artificial Intelligence (GenAI), this course is for you! You don't need a programming background, just a desire to learn!

πŸ₯΅ What will you learn in this course?

βœ… Python concepts: conditionals, loops, data structures
βœ… Working with APIs, File Management, and Regex
βœ… Object-oriented programming and modular coding
βœ… And a whole host of other skills that will pave your way into the world of artificial intelligence and data science.

πŸ”” I should also mention that this community grew 5 times last year and is now one of the largest AI communities in the world. In the last hackathon they held, 5,000 people from all over the world participated and a prize of $25,000 was distributed among them.

πŸ“£ It's completely free! No cost, no limits, with a community of people eager to learn.πŸ‘‡
πŸ”— Learn Python for FREE (GenAI Python)

Here are some suitable hashtags for the description in English, in a single line:

#Python #GenAI #FreeCourse #ArtificialIntelligence #DataScience #Programming #LearnToCode #AI #MachineLearning #Coding #Tech #Education #OnlineLearning #FreeTraining #GenerativeAI

https://t.iss.one/CodeProgrammer 🐍
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘11❀5
Linear Algebra for Data Science.pdf
611.5 KB
πŸš€ Master Linear Algebra for Data Science with Gilbert Strang’s Essential Guide!

Discover "Linear Algebra for Data Science" – an 80-page powerhouse booklet by MIT’s legendary professor Gilbert Strang. Crafted during the Corona era as part of his ZoomNotes series, this concise resource distills practical linear algebra concepts into clear, actionable insights.

πŸ“˜ What’s Inside?
- Core topics: Matrix Factorizations, Eigenvalues, Vector Spaces, and more!
- Data Science connections: Learn how linear algebra powers ML, statistics, and optimization.
- Perfectly complements Strang’s MIT video lectures for a seamless learning experience.

πŸ’‘ Why Choose This Booklet?
- MIT-approved clarity: Strang’s teaching brilliance shines in every page.
- Compact & focused: Skip the fluff – dive straight into key concepts.
- Timeless resource: Ideal for students, professionals, and lifelong learners.

πŸ”— Grab your copy and unlock the math behind data-driven innovation!

#LinearAlgebra #DataScience #MachineLearning #MachineLearningIT #GilbertStrang #MathForAI #STEMEducation #MatrixMath #Eigenvalues #VectorSpaces #LearnMath #OnlineLearning #MathResources #DataAnalytics #ZoomNotes

Boost your skills with Strang’s genius – where theory meets real-world application! 🌟

https://t.iss.one/CodeProgrammer ✈️
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘12❀6πŸ’―2