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@PythonPr I think an imbalance data should be balanced with either OVER-SAMPLING OR UNDER-SAMPLING

Imbalanced Data in Classification Image Credit-Aqeel-Anwar

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SQL Joins Cheatsheet

@clcoding 😳😳😳

Advanced Debugging Techniques in Python

Agentic AI: The Big Picture

@mlopswithharsha @Python_Dv The explanation isn't clear enough please

@Python_Dv int(number, base) 11 base 2 = 1*2^1+1*2^0 =3 So the output should be 3.

Python quiz 📋

@PythonPr What about those who model ai and predictable models (python) using machine learning

LLM vs. RAG vs. AI Agent vs. Agentic AI

@Python_Dv That should give 54

Python quiz 📋

@DataChaz This is massive

@PythonPr Scipy and ....

Top 10 Python Libraries

@DataChaz I think the 0.001% human left on x is me😈

Are there still any humans left on X? Asking for a friend.

@Adina_Coder Is it free or paid

@RealBenjizo Even python uses !=

💨 Which One Should You Use? Both of these mean "not equal." ✅ <> is the SQL standard <> is defined by the ANSI SQL standard. It works everywhere in all databases. ⚠️ != is vendor-supported Most modern databases support !=, but it’s technically not the original standard operator. It’s there mostly for developer convenience (well, because many languages use !=). I must admit that I tend to use "!=" more because of my Python habits. 😂 👑 Best Practice Use <> more. Why? 👉 It’s the SQL standard 👉 It’s universally portable Which one is your style? Which one do you use more?