{"id":16164,"date":"2017-02-17T11:00:18","date_gmt":"2017-02-17T02:00:18","guid":{"rendered":"https:\/\/www.creationline.com\/?p=16164"},"modified":"2017-02-17T10:50:59","modified_gmt":"2017-02-17T01:50:59","slug":"kaggle-challenge-santanders-product-recommendations-dataanalytics-kaggle-machinelearning","status":"publish","type":"post","link":"https:\/\/www.creationline.com\/tech-blog\/data-management\/dataanalytics\/16164","title":{"rendered":"Kaggle challenge: Santanders product recommendations #dataanalytics #kaggle #machinelearning"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" src=\"\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2015\/12\/kaggle.jpg\" alt=\"\" width=\"942\" height=\"261\" class=\"alignnone size-full wp-image-12352\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2015\/12\/kaggle.jpg 942w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2015\/12\/kaggle-360x100.jpg 360w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2015\/12\/kaggle-768x213.jpg 768w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2015\/12\/kaggle-225x62.jpg 225w\" sizes=\"auto, (max-width: 942px) 100vw, 942px\" \/><\/p>\n<p>\u672c\u8a18\u4e8b\u306f\u7ffb\u8a33\u3067\u3059\u3002\u539f\u6587\u306f<a href=\"\/en\/lab\/16164\">\u82f1\u8a9e<\/a>\u306e\u3082\u306e\u3092\u3054\u53c2\u7167\u304f\u3060\u3055\u3044<\/p>\n<h2>\u3053\u3093\u306b\u3061\u306f\uff01\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306e\u30ca\u30bc\u30a4\u30eb\u3067\u3059<\/h2>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/natheer-m-a-alabsi-2a7993b\/\">Natheer Alabsi<\/a>\u3067\u3059\u3002\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u306e\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u30b5\u30a4\u30a8\u30f3\u30b9\u7814\u7a76\u79d1\u306e\u74b0\u5883\u79d1\u5b66\u5c02\u653b\u306e\u4fee\u58eb\u53f7\u3068\u535a\u58eb\u53f7\u3092\u305d\u308c\u305e\u308c2011\u5e74\u30682015\u5e74\u306b\u53d6\u5f97\u3057\u3001\u7d71\u5408\u30ea\u30e2\u30fc\u30c8\u30bb\u30f3\u30b7\u30f3\u30b0\u3001GPS\u3001GIS\u3092\u4f7f\u3063\u305f\u6cbf\u5cb8\u6f01\u696d\u8cc7\u6e90\u306e\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u6280\u8853\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002\u73fe\u5728\u79c1\u306fCreationline INC\u306e\u30c7\u30fc\u30bf\u79d1\u5b66\u8005\u304a\u3088\u3073\u30c7\u30fc\u30bf\u5206\u6790\u5c02\u9580\u5bb6\u3068\u3057\u3066\u50cd\u3044\u3066\u3044\u307e\u3059\u3002\u79c1\u306e\u4ed5\u4e8b\u306f\u3001Python\u3001R\u3001Apache Spark\u3067\u306e\u30c7\u30fc\u30bf\u306e\u8abf\u67fb\u3001\u5206\u6790\u3001\u6a5f\u68b0\u5b66\u7fd2\u3067\u3059\u3002<\/p>\n<h2>Kaggle\u3092\u3054\u5b58\u77e5\u3067\u3059\u304b\uff1f<\/h2>\n<p><a href=\"https:\/\/www.kaggle.com\/\">Kaggle<\/a>\u306f\u3001\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306b\u643a\u308f\u308b\u6280\u8853\u8005\u306e\u4e2d\u3067\u6700\u3082\u6709\u540d\u306a\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8\u3067\u3042\u308a\u3001\u307e\u3055\u306b the Home of Data Science \u3068\u8a00\u3048\u307e\u3059\u3002\u4f01\u696d\u3084\u7d44\u7e54\u304c\u62b1\u3048\u308b\u3055\u307e\u3056\u307e\u306a\u8ab2\u984c\u3092\u6a5f\u68b0\u5b66\u7fd2\u306e\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u3068\u3044\u3046\u5f62\u3067\u5171\u6709\u3057\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002\u512a\u79c0\u306a\u89e3\u6c7a\u3092\u751f\u307f\u51fa\u3057\u305f\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u306f\u8cde\u91d1\u304c\u4e0e\u3048\u3089\u308c\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u3059\uff01\u4e16\u754c\u4e2d\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u304c\u5207\u78cb\u7422\u78e8\u3057\u3001\u6700\u9ad8\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3092\u65e5\u3005\u751f\u307f\u51fa\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3048\u3070\u73fe\u5728\u3067\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u304c\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><a href=\"https:\/\/www.kaggle.com\/c\/data-science-bowl-2017\">Data Science Bowl 2017:<\/a> \u80ba\u306eDICOM\u533b\u7642\u753b\u50cf\u304b\u3089\u80ba\u304c\u3093\u306e\u767a\u751f\u3092\u4e88\u6e2c\u3059\u308b\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u3067\u3059\u3002\u4e0a\u4f4d10\u4eba\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u7dcf\u984d100\u4e07\u30c9\u30eb\u306e\u8cde\u91d1\u304c\u63d0\u4f9b\u3055\u308c\u307e\u3059\uff01<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/www.kaggle.com\/c\/dstl-satellite-imagery-feature-detection\">Dstl Satellite Imagery Feature Detection:<\/a> \u885b\u661f\u753b\u50cf\u304b\u3089\u306e\u5730\u8868\u72b6\u6cc1\u5224\u65ad\u3092\u81ea\u52d5\u5316\u3059\u308b\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u3067\u3059\u3002\u4e0a\u4f4d3\u4eba\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u8cde\u91d110\u4e07\u30c9\u30eb\u304c\u63d0\u4f9b\u3055\u308c\u307e\u3059<\/p>\n<\/li>\n<li>\n<p><a href=\"https:\/\/www.kaggle.com\/c\/the-nature-conservancy-fisheries-monitoring\">The Nature Conservancy Fisheries Monitoring:<\/a> \u6f01\u8239\u304b\u3089\u64ae\u5f71\u3055\u308c\u305f\u753b\u50cf\u3092\u5143\u306b\u9b5a\u3068\u305d\u306e\u7a2e\u985e\u3092\u5224\u5225\u3059\u308b\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u3067\u3059\u3002\u4e0a\u4f4d5\u4eba\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u8cde\u91d115\u4e07\u30c9\u30eb\u304c\u63d0\u4f9b\u3055\u308c\u307e\u3059<\/p>\n<\/li>\n<\/ol>\n<h2>Santanders product recommendations\u306b\u3064\u3044\u3066<\/h2>\n<p><a href=\"https:\/\/www.santanderbank.com\/us\/personal\">\u30b5\u30f3\u30bf\u30f3\u30c7\u30fc\u30eb\u9280\u884c(Santander Bank)<\/a>\u306f\u30012016\u5e7410\u670826\u65e5\u304b\u308912\u670821\u65e5\u306e\u671f\u9593\u3001\u88fd\u54c1\u30ea\u30b3\u30e1\u30f3\u30c9\u306b\u95a2\u3059\u308b\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u3092Kaggle\u4e0a\u3067\u958b\u50ac\u3057\u307e\u3057\u305f\u3002\u6b8b\u5ff5\u306a\u304c\u3089\u305d\u306e\u671f\u9593\u79c1\u306f\u5b9f\u969b\u306e\u6848\u4ef6\u5bfe\u5fdc\u306e\u305f\u3081\u6700\u7d42\u7684\u306a\u30ea\u30b3\u30e1\u30f3\u30c9\u30ed\u30b8\u30c3\u30af\u3092\u5fdc\u52df\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002<\/p>\n<p>\u3053\u306e\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u3067\u306f\u3001\u904e\u53bb18\u30f6\u6708\u9593\u306b\u9867\u5ba2\u306b\u63d0\u4f9b\u3055\u308c\u305f\u5546\u54c1\u3068\u9867\u5ba2\u306e\u8cfc\u8cb7\u30c7\u30fc\u30bf\u3092\u3082\u3068\u306b\u3001\u8ffd\u52a0\u3055\u308c\u305f\u65b0\u88fd\u54c1\u306b\u5bfe\u3059\u308b\u9867\u5ba2\u306e\u53cd\u5fdc\u3092\u4e88\u6e2c\u3059\u308b\u3053\u3068\u304c\u76ee\u7684\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u9867\u5ba2\u304c\u6b21\u306b\u4f55\u3092\u8cfc\u5165\u3059\u308b\u306e\u304b\uff1f\u9867\u5ba2\u306e\u4eca\u306e\u30cb\u30fc\u30ba\u3092\u6e80\u305f\u3059\u88fd\u54c1\u3092\u9069\u5207\u306b\u30ea\u30b3\u30e1\u30f3\u30c9\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u9867\u5ba2\u306e\u884c\u52d5\u3092\u7406\u89e3\u3057\u3088\u3046\u3068\u3059\u308b\u4f01\u696d\u304c\u5897\u3048\u3066\u3044\u307e\u3059\u3002\u30ea\u30b3\u30e1\u30f3\u30c9\u304c\u9069\u5207\u306b\u884c\u3048\u308b\u306e\u3067\u3042\u308c\u3070\u3001\u7af6\u5408\u4ed6\u793e\u3088\u308a\u306e\u512a\u4f4d\u306b\u7acb\u3061\u3001\u9867\u5ba2\u30cb\u30fc\u30ba\u3092\u7406\u89e3\u3057\u30ed\u30a4\u30e4\u30eb\u30c6\u30a3\u3092\u9ad8\u3081\u308b\u3053\u3068\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2>\u8ab2\u984c\u89e3\u6c7a\u306e\u305f\u3081\u306e\u6226\u7565<\/h2>\n<p>\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u306e\u76f4\u63a5\u7684\u306a\u76ee\u6a19\u306f\u3001\u7fcc\u6708\u306b\u63d0\u4f9b\u3055\u308c\u308b\u65b0\u88fd\u54c1\u306b\u5bfe\u3057\u3066\u3001\u9867\u5ba2\u304c\u8cfc\u5165\u3059\u308b\u304b\u3001\u3057\u306a\u3044\u304b\u3092\u4e88\u6e2c\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u4e2d\u3067\u306f\u3001\u9867\u5ba2\u3092 add \u307e\u305f\u306f not_add (\u4ee5\u4e0b add=1, not_add=0 \u3067\u793a\u3059) \u306b\u5206\u985e\u3059\u308b\u3068\u3044\u3046\u624b\u6cd5\u306b\u843d\u3068\u3057\u3053\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u305f\u3060\u3057\u7570\u306a\u308b\u88fd\u54c1\u306f\u7570\u306a\u308b\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5f71\u97ff\u3092\u53d7\u3051\u307e\u3059\u3002\u53ce\u5165\u3084\u5e74\u9f62\u306b\u3088\u3063\u3066\u5f71\u97ff\u3092\u53d7\u3051\u308b\u3082\u306e\u3082\u3042\u308c\u3070\u3001\u9867\u5ba2\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3084\u6027\u5225\u306a\u3069\u306b\u3088\u3063\u3066\u5f71\u97ff\u3092\u53d7\u3051\u308b\u3082\u306e\u3082\u3042\u308a\u307e\u3059\u3002\u5f93\u3063\u3066\u79c1\u306f\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u524d\u306b\u3001\u5404\u88fd\u54c1\u306e\u6700\u3082\u91cd\u8981\u306a\u6a5f\u80fd\u3092\u9078\u629e\u3059\u308b\u305f\u3081\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u7d44\u307f\u8fbc\u3080\u3053\u3068\u306b\u3057\u307e\u3057\u305f\u3002\u305d\u308c\u305e\u308c\u306e\u30e2\u30c7\u30eb\u306f\u3001\u88fd\u54c1\u306b\u3088\u3063\u3066\u7570\u306a\u308b\u6319\u52d5\u3092\u3068\u308a\u307e\u3059\u3002\u5f93\u3063\u3066\u88fd\u54c1\u3054\u3068\u306b\u6700\u3082\u826f\u3044\u30e2\u30c7\u30eb\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002\u79c1\u306f\u4e00\u822c\u7684\u306a\u5206\u985e\u30e2\u30c7\u30eb\u306e\u3046\u306110\u500b\u3092\u30c6\u30b9\u30c8\u3057\u3001\u6700\u7d42\u7684\u306b\u88fd\u54c1\u3054\u3068\u306b\u6700\u3082\u826f\u3044\u7cbe\u5ea6\u3092\u51fa\u3059\u30e2\u30c7\u30eb\u3092\u9078\u629e\u3059\u308b\u3088\u3046\u306b\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u6700\u5f8c\u306b\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\uff08\u8907\u6570\u30e2\u30c7\u30eb\uff09\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u7cbe\u5ea6\u306f\u660e\u78ba\u306b\u5411\u4e0a\u3059\u308b\u3053\u3068\u304c\u3001\u591a\u304f\u306e\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u306e\u7d50\u679c\u308f\u304b\u3063\u3066\u3044\u307e\u3059\u3002\u901a\u5e38\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f3\u306e\u4e0a\u4f4d\u5165\u8cde\u8005\u306f\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u3092\u7d44\u307f\u8fbc\u3093\u3067\u3044\u308b\u3053\u3068\u304c\u4e00\u822c\u7684\u3067\u3059\u3002\u5f93\u3063\u3066\u79c1\u3082\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002\u3053\u3053\u3067\u306e\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u3068\u306f\u3001\u8907\u6570\u306e\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3001\u305d\u308c\u305e\u308c\u306e\u30e2\u30c7\u30eb\u304b\u3089\u5c0e\u304b\u308c\u305f\u4e88\u6e2c\u3092\u7d50\u5408\u3057\u3066\u3001\u6700\u7d42\u51fa\u529b\u306e\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>\u30c4\u30fc\u30eb\u306e\u6e96\u5099<\/h2>\n<p>\u4eca\u56de\u306f<a href=\"https:\/\/www.continuum.io\/\">Anaconda<\/a>\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002Anaconda\u306f\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u6700\u9069\u5316\u3055\u308c\u305fPython\u30c4\u30fc\u30eb\u30bb\u30c3\u30c8\u3067\u3001100\u4ee5\u4e0a\u306e\u6709\u540d\u306a\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u7528\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u542b\u3080\u3001720\u4ee5\u4e0a\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30d1\u30c3\u30b1\u30fc\u30b8\u304c\u63d0\u4f9b\u3055\u308c\u3066\u3044\u307e\u3059\u3002Anaconda\u81ea\u4f53\u306fPython, R, Scala\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u3067\u3059\u304c\u3001\u4eca\u56de\u306fPython\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u306b\u3057\u307e\u3059\u3002<\/p>\n<p>\u307e\u305a\u306f<a href=\"https:\/\/www.continuum.io\/downloads\">Anaconda\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/a>\u3057\u307e\u3059\u3002Python\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306f3.6\u306b\u3057\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_1.png\" alt=\"\" width=\"976\" height=\"457\" class=\"alignnone size-full wp-image-16165\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_1.png 976w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_1-360x169.png 360w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_1-768x360.png 768w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_1-203x95.png 203w\" sizes=\"auto, (max-width: 976px) 100vw, 976px\" \/><\/p>\n<p>\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f .exe \u30d5\u30a1\u30a4\u30eb\u3092\u30c0\u30d6\u30eb\u30af\u30ea\u30c3\u30af\u3057\u3001\u753b\u9762\u306e\u652f\u6301\u306b\u5f93\u3063\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u5b8c\u4e86\u3059\u308b\u3068\u30c7\u30b9\u30af\u30c8\u30c3\u30d7\u306bAnaconda\u306e\u30a2\u30a4\u30b3\u30f3\u304c\u914d\u7f6e\u3055\u308c\u307e\u3059\u306e\u3067\u3001\u30c0\u30d6\u30eb\u30af\u30ea\u30c3\u30af\u3057\u3066Anaconda Navigator\u3092\u8d77\u52d5\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u8d77\u52d5\u3059\u308b\u3068\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u753b\u9762\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002\u3053\u306eAnaconda Navigator\u304b\u3089iPython Notebook\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u30b5\u30fc\u30d0\u3092\u8d77\u52d5\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u30b5\u30fc\u30d0\u3092\u8d77\u52d5\u3059\u308b\u306b\u306f\u3001\u4e0b\u56f3\u306e\u3068\u304a\u308aJupyter notebook \u30a2\u30a4\u30b3\u30f3\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_2.png\" alt=\"\" width=\"975\" height=\"514\" class=\"alignnone size-full wp-image-16166\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_2.png 975w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_2-180x95.png 180w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_2-768x405.png 768w\" sizes=\"auto, (max-width: 975px) 100vw, 975px\" \/><\/p>\n<p>iPython Notebook\u306e\u753b\u9762\u304c\u30d6\u30e9\u30a6\u30b6\u4e0a\u306b\u958b\u3044\u305f\u3089\u3001\u30ed\u30fc\u30ab\u30eb\u30db\u30b9\u30c8\u4e0a\u306e\u30d5\u30a1\u30a4\u30eb\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002\u3053\u308c\u3067\u30c7\u30fc\u30bf\u30d5\u30a1\u30a4\u30eb\u3084\u3001\u904e\u53bb\u306b\u4f5c\u6210\u3057\u305f\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u958b\u304f\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_3-1024x542.png\" alt=\"\" width=\"1024\" height=\"542\" class=\"alignnone size-large wp-image-16167\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_3-1024x542.png 1024w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_3-180x95.png 180w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_3-768x406.png 768w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_3.png 1601w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>\u753b\u9762\u306e\u53f3\u5074\u306b\u3042\u308b New \u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u3001\u65b0\u898f\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002 \"Notebooks\" \u30ea\u30b9\u30c8\u306b\u306f\u65e2\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u308b\u30ab\u30fc\u30cd\u30eb\u304c\u4e00\u89a7\u8868\u793a\u3055\u308c\u3066\u304a\u308a\u3001\u81ea\u5206\u306e\u4f7f\u7528\u3057\u305f\u3044\u74b0\u5883\u3092\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_4.png\" alt=\"\" width=\"735\" height=\"235\" class=\"alignnone size-full wp-image-16168\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_4.png 735w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_4-225x72.png 225w\" sizes=\"auto, (max-width: 735px) 100vw, 735px\" \/><\/p>\n<p>\u65b0\u898f\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u4f5c\u6210\u76f4\u5f8c\u306e\u753b\u9762\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_5.png\" alt=\"\" width=\"753\" height=\"265\" class=\"alignnone size-full wp-image-16169\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_5.png 753w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2017\/02\/CLLab_first_article_pics_5-225x79.png 225w\" sizes=\"auto, (max-width: 753px) 100vw, 753px\" \/><\/p>\n<p>Anaconda \u306b\u306f Python\u304c\u7d44\u307f\u8fbc\u307e\u308c\u3066\u304a\u308a\u3001\u65e2\u306b\u591a\u304f\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5f8c\u3005\u30a8\u30e9\u30fc\u306a\u3069\u3067\u60a9\u307e\u306a\u3044\u3088\u3046\u306b\u3001\u307e\u305a\u306f\u5168\u3066\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u66f4\u65b0\u3059\u308b\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u307e\u3059\u3002\u5168\u3066\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u306f\u4ee5\u4e0b\u306e\u624b\u9806\u3067\u66f4\u65b0\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>Anaconda Navigator \u306e\u5de6\u30e1\u30cb\u30e5\u30fc\u304b\u3089 Environments \u3092\u9078\u629e<\/li>\n<li>Open Terminal\u3092\u9078\u629e<\/li>\n<li>\u30d7\u30ed\u30f3\u30d7\u30c8\u304b\u3089\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c<\/li>\n<\/ul>\n<p><code>conda upgrade conda<br \/>\nconda upgrade --all<\/code><\/p>\n<p>\u65b0\u3057\u3044\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5834\u5408\u306f\u3001 <strong>conda install package_name<\/strong> \u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\u4f8b\u3048\u3070 Pandas \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5834\u5408\u306f\u3001 <strong>conda install pandas<\/strong> \u3068\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n<p>\u65e2\u5b58\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u66f4\u65b0\u3059\u308b\u5834\u5408\u306f\u3001 <strong>conda update package_name<\/strong> \u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002\u5168\u3066\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u66f4\u65b0\u3059\u308b\u5834\u5408(\u5b9f\u969b\u3053\u308c\u3092\u3088\u304f\u3084\u308b\u306e\u3067\u3059\u304c)\u306f\u3001 <strong>conda update --all<\/strong> \u3068\u3044\u3046\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n<h2>\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u5c0e\u5165\u3059\u308b<\/h2>\n<p>\u305d\u308c\u3067\u306f Jupyter Notebook \u4e0a\u3067\u4f5c\u696d\u3092\u9032\u3081\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u3053\u306e\u8a18\u4e8b\u306e\u4e2d\u3067\u4f7f\u7528\u3059\u308b\u30d1\u30c3\u30b1\u30fc\u30b8\u306f\u4ee5\u4e0b\u306e\u3082\u306e\u3067\u3059\u3002<\/p>\n<p><code>import numpy as np<br \/>\nimport pandas as pd<br \/>\nfrom pickle import dump<br \/>\nimport sklearn.utils<br \/>\nfrom sklearn.metrics import confusion_matrix, accuracy_score, recall_score<br \/>\nfrom sklearn import preprocessing, ensemble<br \/>\nfrom sklearn.tree import DecisionTreeClassifier<br \/>\nfrom sklearn.discriminant_analysis import LinearDiscriminantAnalysis<br \/>\nfrom sklearn.ensemble import GradientBoostingClassifier<br \/>\nfrom sklearn.linear_model import LogisticRegression<br \/>\nfrom sklearn.ensemble import AdaBoostClassifier<br \/>\nfrom sklearn.ensemble import ExtraTreesClassifier<br \/>\nfrom sklearn.ensemble import BaggingClassifier<br \/>\nfrom sklearn.ensemble import RandomForestClassifier<br \/>\nfrom sklearn.neighbors import KNeighborsClassifier<br \/>\nfrom sklearn.naive_bayes import GaussianNB<br \/>\nfrom sklearn.neural_network import MLPClassifier<br \/>\nfrom sklearn.ensemble import VotingClassifier<br \/>\nfrom sklearn.feature_selection import RFE<\/code><\/p>\n<h2>\u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/h2>\n<h3>\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f<\/h3>\n<p>\u63d0\u4f9b\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u8fbc\u307f\u307e\u3059\u3002<\/p>\n<p><code>df  = pd.read_csv(\"C:\/Users\/m-alabsi\/train_ver2.csv\/train_ver2.csv\",<br \/>\n                  dtype={\"sexo\":str, \"ind_nuevo\":str, \"ult_fec_cli_1t\":str, \"indext\":str})<\/code><\/p>\n<p><code># sort the data by user_id and date<br \/>\ndf.sort_values(by=[\"ncodpers\", \"fecha_dato\"], ascending=[True, False], inplace=True)<br \/>\ndf[\"fecha_dato\"] = pd.to_datetime(df[\"fecha_dato\"],format=\"%Y-%m-%d\") # change the date format<\/code><\/p>\n<p>product \u30ab\u30e9\u30e0\u306b\u304a\u3051\u308b\u5168\u3066\u306e\u6b20\u640d\u30c7\u30fc\u30bf\u3092 0(zero) \u3067\u7f6e\u304d\u63db\u3048\u307e\u3059<\/p>\n<p><code>df.loc<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u8a18\u4e8b\u306f\u7ffb\u8a33\u3067\u3059\u3002\u539f\u6587\u306f\u82f1\u8a9e\u306e\u3082\u306e\u3092\u3054\u53c2\u7167\u304f\u3060\u3055\u3044 \u3053\u3093\u306b\u3061\u306f\uff01\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306e\u30ca\u30bc\u30a4\u30eb\u3067\u3059 Natheer Alabsi\u3067\u3059\u3002\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u306e\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u30b5\u30a4\u30a8\u30f3\u30b9\u7814\u7a76\u79d1\u306e\u74b0\u5883\u79d1\u5b66\u5c02\u653b\u306e\u4fee\u58eb\u53f7\u3068\u535a\u58eb\u53f7\u3092\u305d\u308c\u305e\u308c [&#8230;]<\/p>\n","protected":false},"author":1,"featured_media":16165,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[83,16],"tags":[84,85],"class_list":["post-16164","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dataanalytics","category-author","tag-dataanalytics","tag-kaggle"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Kaggle challenge: Santanders product recommendations #dataanalytics #kaggle #machinelearning - Tech 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