Aftaab Siddiqui 📊
@aftaab___
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25, curious • ML & compiler dev • Research @ CacheVector • Shipping open-source tools @ Growvth • Creating https://t.co/Vf4j2eT2yl
Joined November 2018
The minimum IQ required to end this world drops by 1 every 18 months.
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Just wrapped up an iPhone glass effect UI. Minimal, modern, and clean with subtle transparency. #UIDesign #UIExploration #GlassEffect #iOSDesign #MobileUI #DesignCommunity
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Wrote a small script to bring some zsh-style git features into my bash prompt. Just makes working in git repos a bit nicer. Sharing in case someone finds it useful.
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Designed two cards: a link shortener widget and an analytics dashboard. Kept the layout simple and clean with balanced spacing and soft shadows. #UIDesign #UXDesign #DashboardDesign #InterfaceDesign
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Just designed a simple and clean pricing plans section focused on clarity and comparison. #UIDesign #WebDesign #DesignCommunity #PricingPage
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should i improve variable details or include plots in the next alpha?
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Just designed a landing page concept for a gourmet coffee subscription service — BrewBox. Tried to capture a premium feel while keeping it simple and inviting. Fresh coffee, clear plans, and a story behind the roast. Feedback is always welcome. #UIDesign #UXDesign #LandingPage
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HashPrep v0.1.0a1 is here! 🚀 Highlights: - Effect-size thresholds (Cramer’s V, Cohen’s d) - Mann-Whitney U for skewed data - Smarter missing pattern grouping & fewer false positives GitHub link: https://t.co/hAgK55mfmA PyPI link: https://t.co/uTHx4NBn4C
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These updates reduce noise from weak associations, helping ML practitioners focus on signals that matter. HashPrep is still in alpha, but it’s steadily becoming a reliable dataset debugging tool.
HashPrep v0.1.0a1 is here! 🚀 Highlights: - Effect-size thresholds (Cramer’s V, Cohen’s d) - Mann-Whitney U for skewed data - Smarter missing pattern grouping & fewer false positives GitHub link: https://t.co/hAgK55mfmA PyPI link: https://t.co/uTHx4NBn4C
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HashPrep v0.1.0a1 released! This alpha improves dataset checks with: - Effect-size thresholds (Cramer’s V, Cohen’s d) - Mann-Whitney U for skewed data (replacing ANOVA) - Smarter missing pattern detection (tighter p-values, grouped reports) still in alpha!
will be releasing hashprep v0.1.0a1 tonight!🤞
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and finally we fixed the correlation issues! need to review a few more changes and then i'll try to improve the "missing_values" issues.
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