Titanik Veri Setinde OneHotEncoder Boyut Uyu\u015fmazl\u0131\u011f\u0131 Gizemi \u00c7\u00f6z\u00fcld\u00fc!<\/p>\n
Merhaba, Fatih Soysal burada! Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi veri seti olan Titanik verileri \u00fczerinde OneHotEncoder kullan\u0131rken s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan bir hatay\u0131, boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131 ele alaca\u011f\u0131z. Bu hata, \u00f6zellikle yeni ba\u015flayanlar i\u00e7in olduk\u00e7a kafa kar\u0131\u015ft\u0131r\u0131c\u0131 olabiliyor. Ancak endi\u015felenmeyin, bu yaz\u0131n\u0131n sonunda sorunun \u00e7\u00f6z\u00fcm\u00fcn\u00fc ad\u0131m ad\u0131m anlayacaks\u0131n\u0131z.<\/p>\n
OneHotEncoder, kategorik de\u011fi\u015fkenleri (\u00f6rne\u011fin, cinsiyet, yolcu s\u0131n\u0131f\u0131 gibi) say\u0131sal verilere d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in kullan\u0131lan g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r. Ancak, verileri do\u011fru \u015fekilde haz\u0131rlamad\u0131\u011f\u0131m\u0131z takdirde, boyut uyu\u015fmazl\u0131\u011f\u0131 gibi sorunlarla kar\u015f\u0131la\u015fabiliriz. Bu durum, model e\u011fitimi a\u015famas\u0131nda hatalara yol a\u00e7ar ve tahmin do\u011frulu\u011funu olumsuz etkiler.<\/p>\n
\u00d6ncelikle, sorunun kayna\u011f\u0131n\u0131 anlamam\u0131z gerekiyor. OneHotEncoder, her bir kategorik de\u011feri bir s\u00fctuna d\u00f6n\u00fc\u015ft\u00fcr\u00fcr ve bu s\u00fctunlarda ilgili kategori i\u00e7in 1, di\u011ferleri i\u00e7in 0 bulunur. E\u011fer \u00f6ncesinde verilerde eksik de\u011ferler ya da beklenmedik kategoriler varsa, bu durum OneHotEncoder’\u0131n \u00e7\u0131kt\u0131 boyutunu etkiler ve boyut uyu\u015fmazl\u0131\u011f\u0131na yol a\u00e7abilir. \u00d6rne\u011fin, ‘Cinsiyet’ de\u011fi\u015fkeni i\u00e7in ‘Erkek’ ve ‘Kad\u0131n’ de\u011ferlerini beklerken, veri setinde ‘Di\u011fer’ gibi beklenmedik bir de\u011fer varsa, OneHotEncoder bu yeni kategori i\u00e7in ek bir s\u00fctun olu\u015fturur ve bu da boyut uyu\u015fmazl\u0131\u011f\u0131na neden olur.<\/p>\n
Bu sorunun \u00fcstesinden gelmek i\u00e7in birka\u00e7 ad\u0131m izleyebiliriz. \u0130lk olarak, verilerimizi temizlememiz ve \u00f6n i\u015fleme yapmam\u0131z gerekiyor. Bu, eksik de\u011ferlerin doldurulmas\u0131n\u0131 ve beklenmedik kategorilerin ele al\u0131nmas\u0131n\u0131 i\u00e7erir. \u00d6rne\u011fin, eksik de\u011ferleri ortalama veya medyan de\u011ferlerle doldurabilir veya yeni bir kategori olu\u015fturabiliriz. Beklenmedik kategoriler ise, ilgili s\u00fctunlarda uygun bir de\u011fer atayarak veya bu g\u00f6zlemleri veriden \u00e7\u0131kararak \u00e7\u00f6z\u00fclebilir. <\/p>\n
\u0130kinci olarak, OneHotEncoder’\u0131 do\u011fru \u015fekilde kullanmam\u0131z \u00f6nemlidir. Bunun i\u00e7in, handle_unknown parametresini kullanarak bilinmeyen kategorilerle nas\u0131l ba\u015fa \u00e7\u0131k\u0131laca\u011f\u0131n\u0131 belirleyebiliriz. handle_unknown=’ignore’ ile bilinmeyen kategoriler yoksayabilir veya handle_unknown=’error’ ile bir hata f\u0131rlatabiliriz. Ayr\u0131ca, sparse_output parametresini kullanarak yo\u011fun veya seyrek bir \u00e7\u0131kt\u0131 olu\u015fturabiliriz.<\/p>\n
A\u015fa\u011f\u0131da, Python’da Scikit-learn k\u00fct\u00fcphanesi ile OneHotEncoder’\u0131n kullan\u0131m\u0131 ve boyut uyu\u015fmazl\u0131\u011f\u0131 sorunundan nas\u0131l ka\u00e7\u0131n\u0131laca\u011f\u0131na dair bir \u00f6rnek verilmi\u015ftir:<\/p>\n
\nimport pandas as pd\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import OneHotEncoder\n\n# Veri setini y\u00fckleyin (\u00f6rnek olarak pandas kullan\u0131lm\u0131\u015ft\u0131r)\ntitanic_data = pd.read_csv(\"titanic.csv\")\n\n# \u00d6n i\u015fleme ad\u0131mlar\u0131 (eksik de\u011ferlerin doldurulmas\u0131, vb.)\n# ...\n\n# OneHotEncoder i\u00e7in kategorik de\u011fi\u015fkenleri se\u00e7in\ncategorical_cols = ['Sex', 'Embarked']\n\n# OneHotEncoder nesnesini olu\u015fturun\nencoder = OneHotEncoder(handle_unknown='ignore', sparse_output=False)\n\n# Kategorik de\u011fi\u015fkenleri d\u00f6n\u00fc\u015ft\u00fcr\u00fcn\nencoded_data = encoder.fit_transform(titanic_data[categorical_cols])\n\n# D\u00f6n\u00fc\u015ft\u00fcr\u00fclen verileri DataFrame'e ekleyin\nencoded_df = pd.DataFrame(encoded_data, columns=encoder.get_feature_names_out(categorical_cols))\ntitanic_data = pd.concat([titanic_data, encoded_df], axis=1)\n\n# Kategorik de\u011fi\u015fkenleri orijinal DataFrame'den kald\u0131r\u0131n\ntitanic_data = titanic_data.drop(columns=categorical_cols)\n\n# ... model e\u011fitimi ve de\u011ferlendirmesi ...\n\n<\/code><\/pre>\nBu \u00f6rnek, OneHotEncoder’\u0131n do\u011fru kullan\u0131m\u0131 ve boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131n \u00f6nlenmesi konusunda size yol g\u00f6sterici olacakt\u0131r. Unutmay\u0131n ki, verilerinizi do\u011fru bir \u015fekilde haz\u0131rlamak, makine \u00f6\u011frenmesi modellerinizin performans\u0131n\u0131 do\u011frudan etkiler.<\/p>\n
Umar\u0131m bu yaz\u0131, Titanik veri setinde OneHotEncoder kullan\u0131rken kar\u015f\u0131la\u015f\u0131lan boyut uyu\u015fmazl\u0131\u011f\u0131 sorununu \u00e7\u00f6zmenize yard\u0131mc\u0131 olmu\u015ftur. Daha fazla makine \u00f6\u011frenmesi ipucu ve bilgiler i\u00e7in fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz. Ba\u015fka sorular\u0131n\u0131z varsa, yorumlarda sormaktan \u00e7ekinmeyin! Ayr\u0131ca, bu konuda daha fazla bilgi edinmek i\u00e7in bu \u0130ngilizce makaleye<\/a> g\u00f6z atabilirsiniz. \u0130yi kodlamalar!<\/p>\n#Etiketler<\/h2>\n
#OneHotEncoder #BoyutUyu\u015fmazl\u0131\u011f\u0131 #Titanik #Veri\u00d6ni\u015fleme #Makine\u00d6\u011frenmesi #Python #Scikit-learn #Pandas #VeriAnalizi #FatihSoysal<\/p>\n","protected":false},"excerpt":{"rendered":"Titanik Veri Setinde OneHotEncoder Boyut Uyu\u015fmazl\u0131\u011f\u0131 Gizemi \u00c7\u00f6z\u00fcld\u00fc! Merhaba, Fatih Soysal burada! Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-17452","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n
Titanik Veri Setinde OneHotEncoder Boyut Uyu\u015fmazl\u0131\u011f\u0131 Gizemi \u00c7\u00f6z\u00fcld\u00fc!<\/title>\n<meta name=\"description\" content=\"Merhaba, Fatih Soysal burada! Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi veri seti olan Titanik verileri \u00fczerinde OneHotEncoder kullan\u0131rken s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan bir hatay\u0131, boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131 ele alaca\u011f\u0131z. Bu hata, \u00f6zellikle yeni ba\u015flayanlar i\u00e7in olduk\u00e7a kafa kar\u0131\u015ft\u0131r\u0131c\u0131 olabiliyor. Ancak endi\u015felenmeyin, bu yaz\u0131n\u0131n sonunda sorunun \u00e7\u00f6z\u00fcm\u00fcn\u00fc ad\u0131m ad\u0131m anlayacaks\u0131n\u0131z.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Titanik Veri Setinde OneHotEncoder Boyut Uyu\u015fmazl\u0131\u011f\u0131 Gizemi \u00c7\u00f6z\u00fcld\u00fc!\" \/>\n<meta property=\"og:description\" content=\"Merhaba, Fatih Soysal burada! Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi veri seti olan Titanik verileri \u00fczerinde OneHotEncoder kullan\u0131rken s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan bir hatay\u0131, boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131 ele alaca\u011f\u0131z. Bu hata, \u00f6zellikle yeni ba\u015flayanlar i\u00e7in olduk\u00e7a kafa kar\u0131\u015ft\u0131r\u0131c\u0131 olabiliyor. 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Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi veri seti olan Titanik verileri \u00fczerinde OneHotEncoder kullan\u0131rken s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan bir hatay\u0131, boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131 ele alaca\u011f\u0131z. Bu hata, \u00f6zellikle yeni ba\u015flayanlar i\u00e7in olduk\u00e7a kafa kar\u0131\u015ft\u0131r\u0131c\u0131 olabiliyor. 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Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi veri seti olan Titanik verileri \u00fczerinde OneHotEncoder kullan\u0131rken s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan bir hatay\u0131, boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131 ele alaca\u011f\u0131z. Bu hata, \u00f6zellikle yeni ba\u015flayanlar i\u00e7in olduk\u00e7a kafa kar\u0131\u015ft\u0131r\u0131c\u0131 olabiliyor. Ancak endi\u015felenmeyin, bu yaz\u0131n\u0131n sonunda sorunun \u00e7\u00f6z\u00fcm\u00fcn\u00fc ad\u0131m ad\u0131m anlayacaks\u0131n\u0131z.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/","og_locale":"tr_TR","og_type":"article","og_title":"Titanik Veri Setinde OneHotEncoder Boyut Uyu\u015fmazl\u0131\u011f\u0131 Gizemi \u00c7\u00f6z\u00fcld\u00fc!","og_description":"Merhaba, Fatih Soysal burada! Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi veri seti olan Titanik verileri \u00fczerinde OneHotEncoder kullan\u0131rken s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan bir hatay\u0131, boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131 ele alaca\u011f\u0131z. Bu hata, \u00f6zellikle yeni ba\u015flayanlar i\u00e7in olduk\u00e7a kafa kar\u0131\u015ft\u0131r\u0131c\u0131 olabiliyor. Ancak endi\u015felenmeyin, bu yaz\u0131n\u0131n sonunda sorunun \u00e7\u00f6z\u00fcm\u00fcn\u00fc ad\u0131m ad\u0131m anlayacaks\u0131n\u0131z.","og_url":"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/","og_site_name":"Kodlar\u0131n Gizemli D\u00fcnyas\u0131","article_published_time":"2025-04-07T13:00:15+00:00","author":"Fatih Soysal","twitter_card":"summary_large_image","twitter_misc":{"Yazan:":"Fatih Soysal","Tahmini okuma s\u00fcresi":"3 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/#article","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/"},"author":{"name":"Fatih Soysal","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"headline":"Titanik Veri Setinde OneHotEncoder Boyut Uyu\u015fmazl\u0131\u011f\u0131 Gizemi \u00c7\u00f6z\u00fcld\u00fc!","datePublished":"2025-04-07T13:00:15+00:00","mainEntityOfPage":{"@id":"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/"},"wordCount":547,"commentCount":0,"publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"inLanguage":"tr","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/#respond"]}],"copyrightYear":"2025","copyrightHolder":{"@id":"https:\/\/fatihsoysal.com\/blog\/#organization"}},{"@type":"WebPage","@id":"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/","url":"https:\/\/fatihsoysal.com\/blog\/titanik-veri-setinde-onehotencoder-boyut-uyusmazligi-gizemi-cozuldu\/","name":"Titanik Veri Setinde OneHotEncoder Boyut Uyu\u015fmazl\u0131\u011f\u0131 Gizemi \u00c7\u00f6z\u00fcld\u00fc!","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/#website"},"datePublished":"2025-04-07T13:00:15+00:00","description":"Merhaba, Fatih Soysal burada! Bu yaz\u0131da, pop\u00fcler bir makine \u00f6\u011frenmesi veri seti olan Titanik verileri \u00fczerinde OneHotEncoder kullan\u0131rken s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan bir hatay\u0131, boyut uyu\u015fmazl\u0131\u011f\u0131n\u0131 ele alaca\u011f\u0131z. Bu hata, \u00f6zellikle yeni ba\u015flayanlar i\u00e7in olduk\u00e7a kafa kar\u0131\u015ft\u0131r\u0131c\u0131 olabiliyor. 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