Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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πŸ“Œ Building A Modern Dashboard with Python and Taipy

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-06-23 | ⏱️ Read time: 11 min read

A guide to building a front-end data application.
πŸ“Œ Building AI-Powered Low-Code Workflows with n8n

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-06-23 | ⏱️ Read time: 27 min read

Three powerful workflows that you can apply to your personal life or business today
πŸ“Œ Why You Should Not Replace Blanks with 0 in Power BI

πŸ—‚ Category: DATA ANALYSIS

πŸ•’ Date: 2025-06-20 | ⏱️ Read time: 7 min read

Did someone ask you to replace blank values with 0 in your reports? Maybe you…
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πŸ“Œ Understanding Application Performance with Roofline Modeling

πŸ—‚ Category:

πŸ•’ Date: 2025-06-20 | ⏱️ Read time: 10 min read

A common challenge with calculating an application’s performance is that the real-world performance and theoretical…
πŸ“Œ Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-06-19 | ⏱️ Read time: 16 min read

Transforming Independent Models into Collaborative Intelligence
πŸ“Œ Understanding Matrices | Part 2: Matrix-Matrix Multiplication

πŸ—‚ Category: MATH

πŸ•’ Date: 2025-06-19 | ⏱️ Read time: 15 min read

The physical meaning of multiplying two matrices and how it works on several special matrices.
πŸ“Œ Implementing the Gaussian Challenge in Python

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-09-08 | ⏱️ Read time: 5 min read

Beginner-friendly tutorial to understand range function and Python loops
πŸ“Œ Agentic AI and the Future of Python Project Management Tooling

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2025-09-08 | ⏱️ Read time: 10 min read

Introducing a pyramid framework of evolution, accelerating and decelerating factors, and strategic recommendations for incumbents…
πŸ“Œ From Tokens to Theorems: Building a Neuro-Symbolic AI Mathematician

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-08 | ⏱️ Read time: 25 min read

The next Gauss may not be born β€” they may be spun up in the…
πŸ“Œ LLM-as-a-Judge: A Practical Guide

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-06-19 | ⏱️ Read time: 16 min read

How to Scale LLM Evaluations Beyond Manual Review
πŸ“Œ From Configuration to Orchestration: Building an ETL Workflow with AWS Is No Longer a Struggle

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-06-19 | ⏱️ Read time: 7 min read

A step-by-step guide to leverage AWS services for efficient data pipeline automation
πŸ“Œ Core Machine Learning Skills, Revisited

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-06-19 | ⏱️ Read time: 3 min read

With all the buzz around agents, LLMs, and the tools they power, it’s sometimes easy…
πŸ“Œ Beyond Code Generation: Continuously Evolve Text with LLMs

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-06-19 | ⏱️ Read time: 17 min read

Long-running content evolution and an introduction to result analysis
πŸ“Œ Animating Linear Transformations with Quiver

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-06-18 | ⏱️ Read time: 8 min read

A useful tool in your quiver
πŸ“Œ A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM Cost Control

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-06-18 | ⏱️ Read time: 19 min read

Your very own SQL assistant built with Streamlit, SQLite, & CrewAI
πŸ“Œ Can We Use Chess to Predict Soccer?

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-06-18 | ⏱️ Read time: 29 min read

An adaptation of Elo ratings for soccer implemented in Python
πŸ“Œ Computer Vision’s Annotation Bottleneck Is Finally Breaking

πŸ—‚ Category: SPONSORED CONTENT

πŸ•’ Date: 2025-06-18 | ⏱️ Read time: 8 min read

A Technical Deep Dive into Auto-Labeling
πŸ“Œ Abstract Classes: A Software Engineering Concept Data Scientists Must Know To Succeed

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-06-17 | ⏱️ Read time: 14 min read

Simple concepts that differentiate a professional from amateurs.
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πŸ“Œ LLaVA on a Budget: Multimodal AI with Limited Resources

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-06-17 | ⏱️ Read time: 8 min read

Let’s get started with multimodality
πŸ“Œ Apply Sphinx’s Functionality to Create Documentation for Your Next Data Science Project

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-06-17 | ⏱️ Read time: 6 min read

Three cases to use the Sphinx tool as a pro