Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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🐼 Cheat Sheet on Data Wrangling β€” for everyone who works with Pandas

Everything you need is collected in one file: creating and merging DataFrames, filtering, grouping, handling missing values, and visualization.

It's convenient when you need to quickly refresh your syntax and don't want to dig into the documentation.

The cheat sheet in good quality
https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

tags: #useful

For more please ❀️

➑ https://t.iss.one/CodeProgrammer
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Forwarded from Learn Python Hub
πŸ—‚ 20 free MIT courses β€” the entire Computer Science base in one place

#MIT has made courses in key CS areas publicly available. #Python, #algorithms, #ML, neural networks, #OS, #databases, #mathematics β€” all can be completed for free directly on #YouTube.

▢️ Introduction to Python Programming
▢️ Data Structures and Algorithms
▢️ Mathematics for Computer Science
▢️ Machine Learning
▢️ Deep Learning
▢️ Artificial Intelligence
▢️ Machine Learning in Healthcare
▢️ Database Management Systems
▢️ Operating Systems
▢️ One-Variable Calculus
▢️ Many-Variable Calculus
▢️ Introduction to Probability Theory
▢️ Statistics
▢️ Probability Theory and Statistics
▢️ Linear Algebra
▢️ Matrix Calculus for Machine Learning
▢️ Java Programming
▢️ Design and Analysis of Algorithms
▢️ Advanced Data Structures
▢️ Introduction to Computational Thinking

tags: #courses

➑https://t.iss.one/python53
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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Forwarded from Data Analytics
SQL Basics.pdf
102.8 KB
πŸ’» Collection of cheat sheets on SQL

I've gathered for you short and understandable cheat sheets on the main topics:
▢️ Basics of the SQL language;
▢️ JOINs with clear examples;
▢️ Window functions;
▢️ SQL for data analysis.

An excellent set to refresh your knowledge before a job interview or quickly recall the syntax.

tags: #sql #useful

https://t.iss.one/DataAnalyticsX
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When have you ever needed to add a mathematical description for your function in Python, but found that it takes too much time?

Non-programmers can't easily read Python's logic. However, manually converting it to LaTeX is slow and quickly becomes outdated as the code changes.

latexify_py solves this problem with a single decorator, generating LaTeX directly from your function, so that the mathematics remains readable and always synchronized with the code.

Main features:
β€’ Three decorators for different outputs: expressions, full equations, or pseudocode
β€’ Displays the rendered LaTeX directly in Jupyter cells
β€’ Functions continue to work normally when called

In addition, latexify_py is open source. Install it using pip install latexify-py

An article about 3 tools that convert Python code to LaTeX: https://bit.ly/3Pw89yP
Run this code: https://bit.ly/4bW2ycE

https://t.iss.one/CodeProgrammer
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Please note that the permanent subscription to our Premium channel will be permanently closed in five days.

The cost of a permanent subscription to our premium channel is $35.

The Premium channel contains thousands of books and courses available for free as direct downloadable Telegram files.

Contact me @HusseinSheikho
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The most complete list of video courses on Computer Science on the internet.

cs-video-courses β€” 78K+ stars.

MIT.
Stanford University.
University of California, Berkeley.
Harvard University.
Carnegie Mellon University.
Indian Institutes of Technology.
Princeton University.
California Institute of Technology.

Everything is free. All lectures are in video format. Everything is collected in one repository.

Topics:

β†’ Data structures and algorithms
β†’ Operating systems
β†’ Distributed systems
β†’ Database systems
β†’ Computer networks
β†’ Machine learning
β†’ Deep learning
β†’ Natural language processing (NLP)
β†’ Computer vision
β†’ Computer graphics
β†’ Security
β†’ Quantum computing
β†’ Robotics
β†’ Blockchain

From beginner level (CS50) to advanced (6.824 Distributed Systems).

The curriculum is free. πŸ€™
https://github.com/Developer-Y/cs-video-courses

https://t.iss.one/CodeProgrammer ⚑️
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Forwarded from Kaggle Data Hub
πŸ“Š Data Science Cheat Sheets

πŸ“¦ 596.3 MB | πŸ‘ 5.5K | ⬇️ 73.4K

πŸ“‘ @DATASETS1
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Forwarded from Code With Python
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

βœ… https://t.iss.one/addlist/8_rRW2scgfRhOTc0

βœ… https://t.iss.one/Codeprogrammer
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Selection for those who want to become a certified Claude architect

Useful resources for preparation in one place πŸ‘‡

β€’ Registration for certification: https://anthropic.skilljar.com/claude-certified-architect-foundations-access-request

β€’ Training (13 free courses):
https://anthropic.skilljar.com

β€’ Cookbook (examples and practices):
https://github.com/anthropics/anthropic-cookbook

β€’ Exam guide:
https://share.google/0eqIbebzRMUt8KTc8

β€’ Practice questions:
https://claudecertifications.com

β€’ MCP documentation:
https://modelcontextprotocol.io

API documentation:
https://docs.anthropic.com

Useful playbook:
https://drive.google.com/file/d/1luC0rnrET4tDYtS7xe5jUxMDZA-4qNf-/view
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