{"id":119,"date":"2026-10-26T00:30:34","date_gmt":"2026-10-25T21:30:34","guid":{"rendered":"https:\/\/verirotasi.com\/?p=119"},"modified":"2026-10-26T00:30:35","modified_gmt":"2026-10-25T21:30:35","slug":"python-ile-buyuk-veri-setlerinde-bellek-optimizasyonu-pandas-memory-optimization","status":"publish","type":"post","link":"https:\/\/verirotasi.com\/index.php\/2026\/10\/26\/python-ile-buyuk-veri-setlerinde-bellek-optimizasyonu-pandas-memory-optimization\/","title":{"rendered":"Python ile B\u00fcy\u00fck Veri Setlerinde Bellek Optimizasyonu (Pandas Memory Optimization)"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Veri bilimi projelerinde kar\u015f\u0131la\u015f\u0131lan en yayg\u0131n problemlerden biri, ger\u00e7ek d\u00fcnyadan elde edilen veri setlerindeki eksik (NaN \/ Null) de\u011ferlerdir. Eksik verilerle do\u011fru \u015fekilde ba\u015fa \u00e7\u0131kamamak, makine \u00f6\u011frenmesi modellerinin yanl\u0131\u015f tahminler yapmas\u0131na ve hatta kodun hata vermesine yol a\u00e7ar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu rehberde, Pandas k\u00fct\u00fcphanesini kullanarak eksik verilerle ba\u015fa \u00e7\u0131kman\u0131n en yayg\u0131n ve etkili 4 yolunu inceliyoruz.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Y\u00f6ntem 1: Eksik Verileri Do\u011frudan Silme (<code>dropna<\/code>)<\/strong> Veri kayb\u0131n\u0131n az oldu\u011fu durumlarda eksik sat\u0131rlar\u0131 veya s\u00fctunlar\u0131 veri setinden tamamen \u00e7\u0131karmak en h\u0131zl\u0131 \u00e7\u00f6z\u00fcmd\u00fcr. Ancak bu y\u00f6ntem, de\u011ferli bilgilerin kaybolmas\u0131na neden olabilece\u011fi i\u00e7in dikkatli kullan\u0131lmal\u0131d\u0131r.<\/li>\n\n\n\n<li><strong>Y\u00f6ntem 2: Sabit Bir De\u011fer ile Doldurma (<code>fillna<\/code>)<\/strong> \u00d6zellikle kategori veya metin bazl\u0131 eksik verilerde, bo\u015fluklar\u0131 &#8220;Bilinmiyor&#8221; veya &#8220;0&#8221; gibi sabit bir de\u011ferle doldurmak analizin s\u00fcreklili\u011fini sa\u011flar.<\/li>\n\n\n\n<li><strong>Y\u00f6ntem 3: \u0130statistiksel Atama (Ortalama ve Medyan)<\/strong> Say\u0131sal s\u00fctunlarda bo\u015f kalan yerleri, o s\u00fctunun ortalamas\u0131 (<code>mean<\/code>) veya medyan\u0131 ile doldurmak veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc koruman\u0131n klasik yollar\u0131ndan biridir.<\/li>\n\n\n\n<li><strong>Y\u00f6ntem 4: \u0130leri Seviye Tahmin Y\u00f6ntemleri (Interpolation)<\/strong> Zaman serisi analizlerinde, bir \u00f6nceki ve bir sonraki verinin trendine bakarak aradaki bo\u015flu\u011fu matematiksel olarak doldurmak model ba\u015far\u0131s\u0131n\u0131 do\u011frudan art\u0131r\u0131r.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Veri bilimi projelerinde kar\u015f\u0131la\u015f\u0131lan en yayg\u0131n problemlerden biri, ger\u00e7ek d\u00fcnyadan elde edilen veri setlerindeki eksik (NaN \/ Null) de\u011ferlerdir. Eksik verilerle do\u011fru \u015fekilde ba\u015fa \u00e7\u0131kamamak, makine \u00f6\u011frenmesi modellerinin yanl\u0131\u015f tahminler yapmas\u0131na ve hatta kodun hata vermesine yol a\u00e7ar. Bu rehberde, Pandas k\u00fct\u00fcphanesini kullanarak eksik verilerle ba\u015fa \u00e7\u0131kman\u0131n en yayg\u0131n ve etkili 4 yolunu inceliyoruz.<\/p>\n","protected":false},"author":1,"featured_media":120,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-119","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genel"],"rttpg_featured_image_url":{"full":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images.jpg",571,350,false],"landscape":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images.jpg",571,350,false],"portraits":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images.jpg",571,350,false],"thumbnail":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images-150x150.jpg",150,150,true],"medium":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images-300x184.jpg",300,184,true],"large":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images.jpg",571,350,false],"1536x1536":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images.jpg",571,350,false],"2048x2048":["https:\/\/verirotasi.com\/wp-content\/uploads\/2026\/10\/images.jpg",571,350,false]},"rttpg_author":{"display_name":"hazar","author_link":"https:\/\/verirotasi.com\/author\/hazar\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/verirotasi.com\/index.php\/category\/genel\/\" rel=\"category tag\">Genel<\/a>","rttpg_excerpt":"Veri bilimi projelerinde kar\u015f\u0131la\u015f\u0131lan en yayg\u0131n problemlerden biri, ger\u00e7ek d\u00fcnyadan elde edilen veri setlerindeki eksik (NaN \/ Null) de\u011ferlerdir. Eksik verilerle do\u011fru \u015fekilde ba\u015fa \u00e7\u0131kamamak, makine \u00f6\u011frenmesi modellerinin yanl\u0131\u015f tahminler yapmas\u0131na ve hatta kodun hata vermesine yol a\u00e7ar. Bu rehberde, Pandas k\u00fct\u00fcphanesini kullanarak eksik verilerle ba\u015fa \u00e7\u0131kman\u0131n en yayg\u0131n ve etkili 4 yolunu inceliyoruz.","_links":{"self":[{"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/posts\/119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/comments?post=119"}],"version-history":[{"count":1,"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/posts\/119\/revisions"}],"predecessor-version":[{"id":121,"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/posts\/119\/revisions\/121"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/media\/120"}],"wp:attachment":[{"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/media?parent=119"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/categories?post=119"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/verirotasi.com\/index.php\/wp-json\/wp\/v2\/tags?post=119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}