Explore tweets tagged as #kaggle
Kaggleコンペ「CMI – Detect Behavior with Sensor Data」にて、Rist所属のKaggle Grandmaster 石圭一郎さんが個人で7位となり金メダルを獲得しました🏅📷おめでとうございます！！📷 🎉
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Here's my @kaggle @NanoBanana Hackathon submission: "Scene It" 🍌 It uses the advanced features of Nano Banana to generate beautiful, editable marketing visuals in seconds, just by uploading a couple of product photos. Peep the demo! Built it using @GoogleAIStudio
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My submission for @GoogleDeepMind @NanoBanana Hackathon in @kaggle 👇🏻 DIYkea - DIY steps for anything, IKEA style! https://t.co/2nDYEozm08
@Google @googleaidevs @GoogleAIStudio #nanobanana
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made a nano banana powered AI meme editor (inspired by dingboard) for the kaggle hackathon. let's see if i can submit it on time now!
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今のコンペ終わったら読もうと思いました…(カオスになってるので)。 この本を読んでみてください: "目指せメダリスト！Kaggle実験管理術 着実にコンペで成果を出すためのノウハウ"（髙橋 正憲, 篠田 裕之 著） https://t.co/JfXDGqgvah
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Here's my entry for the @GoogleDeepMind @kaggle Nano Banana Hackathon: Nano Banana CFD🍌 Taking advantage of the model's image editing capabilities and its physics knowledge, I can draw out the basic air flow around an airfoil profile and study effects like flow separation!
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【Kaggle Competitionsの称号まとめ】 みなさんKaggleには挑戦していますか？ Kaggle Competitionの称号と獲得条件をまとめたのでぜひご覧ください！ Grand Mastersは全国にたった332人しかいない狭き門ですね。
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Earned a Kaggle SQL cert. Still humble, still learning 🧑💻
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Day 6 ✅ Today, I used a KNN Classifier on the Kaggle Breast Cancer Wisconsin dataset. • Predicted if a cancer cell is malignant or benign • Achieved 96% accuracy 🎯 KNN shows how effective and simple distance-based learning can be. #30DaysML
Day 5 ✅ Yesterday’s low Decision Tree Regressor result was due to missing features. Today I used Random Forest on an ad CTR dataset: • Classifier → predict if a user will click • Regressor → predict % of clicks by location Both worked well. #30DaysML
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>AIの軽量化・省電力を実現する生成AI再構成技術を開発し、富士通の大規模言語モデル「Takane」を強化 富士通がLLM作ってるの知らなかった >メモリ消費量を最大94%削減する1ビット量子化による軽量化で、世界最高の精度維持率89%・推論3倍速を達成 KaggleのGPUが激しい量子化に対応したら使えそう？
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🚀 What's learning without practice ? I applied logistic regression, tree based models and boosting methods to the famous Kaggle Titanic dataset and ranked 9122 Checkout my project 👇🏾 https://t.co/bGN0yqTr4n Open to feedback and suggestions 🙌🏾 #MachineLearning #DataScience
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昨日はKaggle Masterのkurimatsさんと食事会しました！ 最近Kagglerとの交流が増えてきて嬉しい限りです
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