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Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python

KDnuggets

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 24, 2025 in Python Image by Author | Ideogram Data is messy. Instead of writing the same cleaning code repeatedly, a well-designed pipeline saves time and ensures consistency across your data science projects. Happy data cleaning!

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How I Automated My Machine Learning Workflow with Just 10 Lines of Python

Flipboard

The world’s leading publication for data science, AI, and ML professionals. Himanshu Sharma Jun 6, 2025 4 min read Share Image by Mahdis Mousavi via Unsplash Machine Learning is magical — until you’re stuck trying to decide which model to use for your dataset. Should you go with a random forest or logistic regression?

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Winter Hackathon 2025 – Closing Session

Women in Big Data

The Winter Hackathon Challenge 2025 This year’s competition was powered by the WiDS Worldwide 2025 Datathon Global Challenge and developed in partnership with the Ann S. I personally learned so much about data science through this experience only and I will always build more on everything I have learned over here.

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Mastering the AI Basics: The Must-Know Data Skills Before Tackling LLMs

ODSC - Open Data Science

LLMs, AI agents, and generative AI are the buzzwords lighting up the data science world. Because no modelno matter how powerfulcan perform well on poorly prepared data or without a solid development pipeline based on AIbasics. Data Wrangling: Taming the RawData Why it matters : Real-world data is messy.