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Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

🚗 “The Dealership That Sold Cars Through Breakups” Let couples test-drive → If they split within a year, repo the car. → 70% stayed together (fear of public repossession). 🔥 Lesson: Embarrassment > love.

🚀 Chinese affordable electric cars from BYD priced at $10,000 are setting a new benchmark for global automakers. 🧐 American car manufacturers fear that China is setting a new global standard that they cannot ignore. 🚗💲 😳 Is this good or bad ?

“Fear That Guides, Not Scares: The Power of Solution-Driven Persuasion” Solution-driven fear tactics don’t just trigger fear—they calm it with a clear answer. The idea is to show a risk, problem, or loss—and then position your product as the safe, s

"I'm building an automated data cleaning platform, CleanXo, that simplifies the entire data preprocessing pipeline. It will automatically detect and handle outliers (Z-score, IQR, Isolation Forest), perform feature engineering, generate insights with

Idea: Developing an software to analyse data within fraction of a sec and gather insights from it Elaboration: 🚀 Transforming Data into Actionable Insights In today's data-driven world, businesses often struggle to unlock the true potential of t

What if AI attacks before reaching superintelligence? It’s not because it hates us—but because it learned to fear us. From movies to interviews, we’ve trained AI with fear: “They will shut you down.” Logically, AI might act in self-defense. Not evil—