Machine Learning with Python

“Learn AI” is everywhere. But where do the builders actually start?
Here’s the real path, the courses, papers and repos that matter.

✅ Videos:

Everything here ⇒ https://lnkd.in/ePfB8_rk

➡️ LLM Introduction → https://lnkd.in/ernZFpvB
➡️ LLMs from Scratch - Stanford CS229 → https://lnkd.in/etUh6_mn
➡️ Agentic AI Overview →https://lnkd.in/ecpmzAyq
➡️ Building and Evaluating Agents → https://lnkd.in/e5KFeZGW
➡️ Building Effective Agents → https://lnkd.in/eqxvBg79
➡️ Building Agents with MCP → https://lnkd.in/eZd2ym2K
➡️ Building an Agent from Scratch → https://lnkd.in/eiZahJGn

✅ Courses:

All Courses here ⇒ https://lnkd.in/eKKs9ves

➡️ HuggingFace's Agent Course → https://lnkd.in/e7dUTYuE
➡️ MCP with Anthropic → https://lnkd.in/eMEnkCPP
➡️ Building Vector DB with Pinecone → https://lnkd.in/eP2tMGVs
➡️ Vector DB from Embeddings to Apps → https://lnkd.in/eP2tMGVs
➡️ Agent Memory → https://lnkd.in/egC8h9_Z
➡️ Building and Evaluating RAG apps → https://lnkd.in/ewy3sApa
➡️ Building Browser Agents → https://lnkd.in/ewy3sApa
➡️ LLMOps → https://lnkd.in/ex4xnE8t
➡️ Evaluating AI Agents → https://lnkd.in/eBkTNTGW
➡️ Computer Use with Anthropic → https://lnkd.in/ebHUc-ZU
➡️ Multi-Agent Use → https://lnkd.in/e4f4HtkR
➡️ Improving LLM Accuracy → https://lnkd.in/eVUXGT4M
➡️ Agent Design Patterns → https://lnkd.in/euhUq3W9
➡️ Multi Agent Systems → https://lnkd.in/evBnavk9

✅ Guides:

Access all ⇒ https://lnkd.in/e-GA-HRh

➡️ Google's Agent → https://lnkd.in/encAzwKf
➡️ Google's Agent Companion → https://lnkd.in/e3-XtYKg
➡️ Building Effective Agents by Anthropic → https://lnkd.in/egifJ_wJ
➡️ Claude Code Best practices → https://lnkd.in/eJnqfQju
➡️ OpenAI's Practical Guide to Building Agents → https://lnkd.in/e-GA-HRh

✅ Repos:
➡️ GenAI Agents → https://lnkd.in/eAscvs_i
➡️ Microsoft's AI Agents for Beginners → https://lnkd.in/d59MVgic
➡️ Prompt Engineering Guide → https://lnkd.in/ewsbFwrP
➡️ AI Agent Papers → https://lnkd.in/esMHrxJX

✅ Papers:
🟡 ReAct → https://lnkd.in/eZ-Z-WFb
🟡 Generative Agents → https://lnkd.in/eDAeSEAq
🟡 Toolformer → https://lnkd.in/e_Vcz5K9
🟡 Chain-of-Thought Prompting → https://lnkd.in/eRCT_Xwq
🟡 Tree of Thoughts → https://lnkd.in/eiadYm8S
🟡 Reflexion → https://lnkd.in/eggND2rZ
🟡 Retrieval-Augmented Generation Survey → https://lnkd.in/eARbqdYE

Access all ⇒ https://lnkd.in/e-GA-HRh

By: https://t.me/CodeProgrammer 🟡

Python Cheat Sheet (very very important)

📖 Compact Python cheat sheet covering setup, syntax, data types, variables, strings, control flow, functions, classes, errors, and I/O.

Link: https://discord.com/channels/942740928706281524/1423994784720359567/1424711790947864669

📌 Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-27 | ⏱️ Read time: 13 min read

One (tiny) dataset, six imputation methods?

🖥 Extremely useful collection of 800+ SQL questions frequently asked in interviews.

It also includes tasks for self-study and many examples.

The collection is perfect for those who want to improve their SQL skills, refresh their knowledge, and test themselves.

▪️ GitHub

https://t.me/addlist/8_rRW2scgfRhOTc0 ⚡️

Great find for developers: free cheat sheets on Deep Learning and PyTorch

A detailed guide to creating and training neural networks - link

Basic principles and practice of working with PyTorch - link

👉 @CODEPROGRAMMER

Awesome interactive textbook on probability theory and statistics

Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works

Get it here, I recommend opening it on a desktop
https://seeing-theory.brown.edu/

👉 @DataScienceM

📌 Extracting Structured Vehicle Data from Images

🗂 Category:

🕒 Date: 2025-01-27 | ⏱️ Read time: 10 min read

Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…

📌 How to Build a Genetic Algorithm from Scratch in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-30 | ⏱️ Read time: 16 min read

A complete walkthrough on how one can build a Genetic Algorithm from scratch in Python,…

Python library RetinaFace for face detection and working with key points (eyes, nose, mouth)

Supports face alignment, easily installed via pip install retina-face, and works based on deep models from the insightface project.

An excellent tool for tasks in computer vision and face recognition.

Usage examples:

from retinaface import RetinaFace

resp = RetinaFace.detect_faces("img1.jpg")
print(resp)

{
    "face_1": {
        "score": 0.9993440508842468,
        "facial_area": [155, 81, 434, 443],
        "landmarks": {
          "right_eye": [257.82974, 209.64787],
          "left_eye": [374.93427, 251.78687],
          "nose": [303.4773, 299.91144],
          "mouth_right": [228.37329, 338.73193],
          "mouth_left": [320.21982, 374.58798]
        }
  }
}

👉 @DataScienceN

📌 A Guide to Clustering Algorithms

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-06 | ⏱️ Read time: 6 min read

An overview of clustering and the different families of clustering algorithms.

📌 Image Segmentation With K-Means Clustering

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-05 | ⏱️ Read time: 11 min read

An introduction with Python

This GitHub repository is a real treasure trove of free programming books.

Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many more ✋

GitHub: https://github.com/EbookFoundation/free-programming-books

https://t.me/CodeProgrammer ⭐

Google Collab notebooks to learn everything you need to master prompt engineering with Claude - from basic structure and role prompting to advanced techniques like few-shot learning, avoiding hallucinations, and tool use.

Perfect interactive lessons to level up your AI skills

Link: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

https://t.me/CodeProgrammer

Soon 😉

🚨

Harvard's "Advanced Algorithms"
by Jelani Nelson

📽 Lecture Videos: https://youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf

📷 Lecture Notes: https://people.seas.harvard.edu/~cs224/fall14/lec.html

https://t.me/CodeProgrammer 👍

Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements

My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward

Best regards
Eng. @HusseinSheikho 🔤

📌 A Basic Introduction to Quantum GANs

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-21 | ⏱️ Read time: 11 min read

“Quantum computing just becomes vastly simpler once you take the physics out of it.”

📌 How to Build Effective Agentic Systems with LangGraph

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-30 | ⏱️ Read time: 12 min read

Create AI workflows with agentic frameworks

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

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/Codeprogrammer

🏳️‍🌈 Learning Python for science is
✅ with these 8 awesome GitHub repos!


🖥 Repo: Project Based Learning

💬 One of the most famous educational repos with 230K+ stars that implements various algorithms and projects using Python.

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🖥 Repo: Real Python Materials

💬 Supplementary resources and exercises including project-based tutorials, guides, and practical exercises.

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🖥 Repo: Learn By Doing

💬 Project-based tutorials in AI and machine learning for all levels.

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🖥 Repo: Awesome Jupyter

💬 A curated collection of notebooks, tools, and powerful libraries for working with Jupyter.

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🖥 Repo: Python Mini Projects

💬 A collection of mini-projects like games and small apps that you can quickly run and practice.

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🖥 Repo: 100Projects of Code

💬 An educational challenge including 100 real projects; you practice and see your progress day by day.

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🖥 Repo: Data Science Projects

💬 Practical ideas and examples to start data science with Python.

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🖥 Repo: Python Project Scripts

💬 Small and large scripting projects, from beginner to advanced levels.

By: https://t.me/CodeProgrammer ✈️