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Sensitivity Analysis for Unobserved Confounding | by Ugur Yildirim | Feb, 2024

[ad_1] How to know the unknowable in observational studies Introduction Problem Setup 2.1. Causal Graph 2.2. Model With and Without Z 2.3. Strength of Z as a Confounder Sensitivity Analysis 3.1. Goal 3.2. Robustness Value PySensemakr Conclusion Acknowledgements References The specter of unobserved confounding (aka omitted variable bias) is a notorious problem in observational studies.…

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Speech to Text to Speech with AI Using Python — a How-To Guide | by Naomi Kriger | Feb, 2024

[ad_1] How to Create a Speech-to-Text-to-Speech Program Image by Mariia Shalabaieva from unsplashIt’s been exactly a decade since I started attending GeekCon (yes, a geeks’ conference 🙂) — a weekend-long hackathon-makeathon in which all projects must be useless and just-for-fun, and this year there was an exciting twist: all projects were required to incorporate some…

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Pandas for Data Engineers. Advanced techniques to process and load… | by 💡Mike Shakhomirov | Feb, 2024

[ad_1] Advanced techniques to process and load data efficiently AI-generated image using KandinskyIn this story, I would like to talk about things I like about Pandas and use often in ETL applications I write to process data. We will touch on exploratory data analysis, data cleansing and data frame transformations. I will demonstrate some of…

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Building a Data Platform in 2024. How to build a modern, scalable data… | by Dave Melillo | Feb, 2024

[ad_1] How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? Since 2021, maybe a better question is what HASN’T changed? Stepping out of the shadow of COVID, our society has grappled with a myriad of challenges — political and social turbulence, fluctuating…

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