With more than 30,000 public datasets, 300+ hosted competitions and some of the World’s best Machine Learning minds — Kaggle is a brewing ground for beginners in data science and practice ground for experts. There is a jobs section as well where companies post their openings. How I got introduced to Kaggle competitions
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brew install python3 coreutils swig llvm bazel brew cask install java. Tap the drivers: ... Yes, I got it to work. I was using it for Kaggle yesterday, but then ...
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Looks good, let’s use it! Using it instead of the one provided by Kaggle should give our model twice the data to train on, which in turn should yield better results. One thing you should not do though, is train a model using the entire Ames dataset, and use it to compete in the House Prices competition. That just spoils the fun for everyone.
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資料處理都相同,演算法取代隨機森林後Kaggle分數是0.81818,分數沒有比較高,但跟隨機森林0.82296比差距不大,我們也知道算法選擇跟分數有很大相關 我想可能因為是否生存是二分類問題,而樹狀結構正好適合處理 順帶一提,Kaggle也有很棒的學習資源,可以參考 ...
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新たな教育プログラム「DL4US」が開始しています。 2019年5月に、松尾研究室の新たなディープラーニングの無料教材「DL4US」が公開されています。「Deep Learning基礎講座演習コンテンツ」のバージョンアップ版の位置付けなので、今から学習する方はこちらに取り組んだ方が良いかと思います ...
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資料處理都相同,演算法取代隨機森林後Kaggle分數是0.81818,分數沒有比較高,但跟隨機森林0.82296比差距不大,我們也知道算法選擇跟分數有很大相關 我想可能因為是否生存是二分類問題,而樹狀結構正好適合處理 順帶一提,Kaggle也有很棒的學習資源,可以參考 ...
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Rank 4 solution by Chris Brew. Rank 5 solution description by Yasser Tabandeh. ... date:2016-09-13 今天开始注册了kaggle,从digit recognizer开始学习, ...
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