{"id":1649,"date":"2023-07-25T12:50:55","date_gmt":"2023-07-25T12:50:55","guid":{"rendered":"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/"},"modified":"2023-07-25T12:50:55","modified_gmt":"2023-07-25T12:50:55","slug":"python-egrisi-uydurma","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/","title":{"rendered":"Python'da e\u011fri uydurma (\u00f6rneklerle)"},"content":{"rendered":"

<\/p>\n

\n

\u00c7o\u011fu zaman Python’da bir veri k\u00fcmesine bir e\u011fri s\u0131\u011fd\u0131rmak isteyebilirsiniz.<\/span> <\/p>\n

\"\"<\/p>\n

A\u015fa\u011f\u0131daki ad\u0131m ad\u0131m \u00f6rnek, numpy.polyfit()<\/a> i\u015flevini kullanarak e\u011frilerin Python’daki verilere nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131n\u0131 ve verilere en iyi uyan e\u011frinin nas\u0131l belirlenece\u011fini a\u00e7\u0131klamaktad\u0131r.<\/span><\/p>\n

1. Ad\u0131m: Verileri olu\u015fturun ve g\u00f6rselle\u015ftirin<\/strong><\/span><\/h3>\n

Sahte bir veri k\u00fcmesi olu\u015fturarak ba\u015flayal\u0131m, ard\u0131ndan verileri g\u00f6rselle\u015ftirmek i\u00e7in bir da\u011f\u0131l\u0131m grafi\u011fi olu\u015ftural\u0131m:<\/span> <\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' x<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],\n                   ' y<\/span> ': [3, 14, 23, 25, 23, 15, 9, 5, 9, 13, 17, 24, 32, 36, 46]})\n\n#create scatterplot of x vs. y\n<\/span>plt. scatter<\/span> (df. x<\/span> , df. y<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 Ad\u0131m 2: Birden Fazla E\u011friyi Ayarlay\u0131n<\/strong><\/span><\/h3>\n
 Daha sonra verilere birka\u00e7 polinom regresyon modeli yerle\u015ftirelim ve her modelin e\u011frisini ayn\u0131 \u00e7izimde g\u00f6rselle\u015ftirelim:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\n\n#fit polynomial models up to degree 5\n<\/span>model1 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 1))\nmodel2 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 2))\nmodel3 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 3))\nmodel4 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 4))\nmodel5 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 5))\n\n#create scatterplot\n<\/span>polyline = np. linspace<\/span> (1, 15, 50)\nplt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add fitted polynomial lines to scatterplot \n<\/span>plt. plot<\/span> (polyline, model1(polyline), color=' green<\/span> ')\nplt. plot<\/span> (polyline, model2(polyline), color=' red<\/span> ')\nplt. plot<\/span> (polyline, model3(polyline), color=' purple<\/span> ')\nplt. plot<\/span> (polyline, model4(polyline), color=' blue<\/span> ')\nplt. plot<\/span> (polyline, model5(polyline), color=' orange<\/span> ')\nplt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 Bu de\u011fer bize, yorday\u0131c\u0131 de\u011fi\u015fken say\u0131s\u0131na g\u00f6re ayarlanan, modeldeki yorday\u0131c\u0131 de\u011fi\u015fken(ler) taraf\u0131ndan a\u00e7\u0131klanabilecek yan\u0131t de\u011fi\u015fkenindeki varyasyonun y\u00fczdesini belirtir.<\/span><\/p>\n
 #define function to calculate adjusted r-squared\ndef<\/span> adjR(x, y, degree):\n    results = {}\n    coeffs = np. polyfit<\/span> (x, y, degree)\n    p = np. poly1d<\/span> (coeffs)\n    yhat = p(x)\n    ybar = np. sum<\/span> (y)\/len(y)\n    ssreg = np. sum<\/span> ((yhat-ybar)**2)\n    sstot = np. sum<\/span> ((y - ybar)**2)\n    results[' r_squared<\/span> '] = 1- (((1-(ssreg\/sstot))*(len(y)-1))\/(len(y)-degree-1))\n\n    return<\/span> results<\/span>\n\n#calculated adjusted R-squared of each model\n<\/span>adjR(df. x<\/span> , df. y<\/span> , 1)\nadjR(df. x<\/span> , df. y<\/span> , 2)\nadjR(df. x<\/span> , df. y<\/span> , 3)\nadjR(df. x<\/span> , df. y<\/span> , 4)\nadjR(df. x<\/span> , df. y<\/span> , 5)\n\n{'r_squared': 0.3144819}\n{'r_squared': 0.5186706}\n{'r_squared': 0.7842864}\n{'r_squared': 0.9590276}\n{'r_squared': 0.9549709}\n<\/strong><\/pre>\n
 Sonu\u00e7tan, en y\u00fcksek d\u00fczeltilmi\u015f R-kare de\u011ferine sahip modelin, d\u00fczeltilmi\u015f R-kare de\u011feri 0,959<\/strong> olan d\u00f6rd\u00fcnc\u00fc derece polinom oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n
 3. Ad\u0131m: Son e\u011friyi g\u00f6rselle\u015ftirin<\/strong><\/span><\/h3>\n
 Son olarak d\u00f6rd\u00fcnc\u00fc derece polinom modelinin e\u011frisiyle bir da\u011f\u0131l\u0131m grafi\u011fi olu\u015fturabiliriz:<\/span> <\/p>\n
 #fit fourth-degree polynomial\n<\/span>model4 = np. poly1d<\/span> (np. polyfit<\/span> (df. x<\/span> , df. y<\/span> , 4))\n\n#define scatterplot\n<\/span>polyline = np. linspace<\/span> (1, 15, 50)\nplt. scatter<\/span> (df. x<\/span> , df. y<\/span> )\n\n#add fitted polynomial curve to scatterplot\n<\/span>plt. plot<\/span> (polyline, model4(polyline), ' --<\/span> ', color=' red<\/span> ')\nplt. show<\/span> ()\n<\/strong><\/pre>\n
\"\"<\/p>\n
 Bu sat\u0131r\u0131n denklemini print()<\/strong> fonksiyonunu kullanarak da elde edebiliriz:<\/span><\/p>\n
 print<\/span> (model4)\n\n          4 3 2\n-0.01924x + 0.7081x - 8.365x + 35.82x - 26.52\n<\/strong><\/pre>\n
 E\u011frinin denklemi a\u015fa\u011f\u0131daki gibidir:<\/span><\/p>\n
 y = -0,01924x 4<\/sup> + 0,7081x 3<\/sup> \u2013 8,365x 2<\/sup> + 35,82x \u2013 26,52<\/span><\/p>\n
 Bu denklemi, modeldeki yorday\u0131c\u0131 de\u011fi\u015fkenlere dayal\u0131 olarak yan\u0131t de\u011fi\u015fkeninin<\/a> de\u011ferini tahmin etmek i\u00e7in kullanabiliriz. \u00d6rne\u011fin, e\u011fer x<\/em> = 4 ise y<\/em> = 23,32<\/strong> olaca\u011f\u0131n\u0131 tahmin ederiz:<\/span><\/p>\n
 y = -0,0192(4) 4<\/sup> + 0,7081(4) 3<\/sup> \u2013 8,365(4) 2<\/sup> + 35,82(4) \u2013 26,52 = 23,32<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 Polinom Regresyona Giri\u015f
<\/a> Python’da polinom regresyonu nas\u0131l ger\u00e7ekle\u015ftirilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u00c7o\u011fu zaman Python’da bir veri k\u00fcmesine bir e\u011fri s\u0131\u011fd\u0131rmak isteyebilirsiniz. A\u015fa\u011f\u0131daki ad\u0131m ad\u0131m \u00f6rnek, numpy.polyfit() i\u015flevini kullanarak e\u011frilerin Python’daki verilere nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131n\u0131 ve verilere en iyi uyan e\u011frinin nas\u0131l belirlenece\u011fini a\u00e7\u0131klamaktad\u0131r. 1. Ad\u0131m: Verileri olu\u015fturun ve g\u00f6rselle\u015ftirin Sahte bir veri k\u00fcmesi olu\u015fturarak ba\u015flayal\u0131m, ard\u0131ndan verileri g\u00f6rselle\u015ftirmek i\u00e7in bir da\u011f\u0131l\u0131m grafi\u011fi olu\u015ftural\u0131m: import pandas as pd […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1649","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPython'da E\u011fri Uydurma (\u00d6rneklerle) - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python'da e\u011frilerin nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131 birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python'da E\u011fri Uydurma (\u00d6rneklerle) - Statorials\" \/>\n<meta property=\"og:description\" content=\"Bu e\u011fitimde Python'da e\u011frilerin nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131 birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T12:50:55+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/courbepython3.png\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/\",\"url\":\"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/\",\"name\":\"Python'da E\u011fri Uydurma (\u00d6rneklerle) - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/tr\/#website\"},\"datePublished\":\"2023-07-25T12:50:55+00:00\",\"dateModified\":\"2023-07-25T12:50:55+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\"},\"description\":\"Bu e\u011fitimde Python'da e\u011frilerin nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131 birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Ev\",\"item\":\"https:\/\/statorials.org\/tr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Python'da e\u011fri uydurma (\u00f6rneklerle)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/tr\/#website\",\"url\":\"https:\/\/statorials.org\/tr\/\",\"name\":\"Statorials\",\"description\":\"\u0130statistik okuryazarl\u0131\u011f\u0131 rehberiniz!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/tr\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"tr\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Merhaba, ben Benjamin, emekli bir istatistik profes\u00f6r\u00fc ve Statorials \u00f6\u011fretmenine d\u00f6n\u00fc\u015ft\u00fcm. \u0130statistik alan\u0131ndaki kapsaml\u0131 deneyimim ve uzmanl\u0131\u011f\u0131mla, \u00f6\u011frencilerimi Statorials arac\u0131l\u0131\u011f\u0131yla g\u00fc\u00e7lendirmek i\u00e7in bilgilerimi payla\u015fmaya can at\u0131yorum. Daha fazlas\u0131n\u0131 bil\",\"sameAs\":[\"https:\/\/statorials.org\/tr\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python'da E\u011fri Uydurma (\u00d6rneklerle) - Statorials","description":"Bu e\u011fitimde Python'da e\u011frilerin nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131 birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.","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:\/\/statorials.org\/tr\/python-egrisi-uydurma\/","og_locale":"tr_TR","og_type":"article","og_title":"Python'da E\u011fri Uydurma (\u00d6rneklerle) - Statorials","og_description":"Bu e\u011fitimde Python'da e\u011frilerin nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131 birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.","og_url":"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/","og_site_name":"Statorials","article_published_time":"2023-07-25T12:50:55+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/courbepython3.png"}],"author":"Dr.benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Yazan:":"Dr.benjamin anderson","Tahmini okuma s\u00fcresi":"3 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/","url":"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/","name":"Python'da E\u011fri Uydurma (\u00d6rneklerle) - Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/tr\/#website"},"datePublished":"2023-07-25T12:50:55+00:00","dateModified":"2023-07-25T12:50:55+00:00","author":{"@id":"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48"},"description":"Bu e\u011fitimde Python'da e\u011frilerin nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131 birka\u00e7 \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.","breadcrumb":{"@id":"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/tr\/python-egrisi-uydurma\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Ev","item":"https:\/\/statorials.org\/tr\/"},{"@type":"ListItem","position":2,"name":"Python'da e\u011fri uydurma (\u00f6rneklerle)"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/tr\/#website","url":"https:\/\/statorials.org\/tr\/","name":"Statorials","description":"\u0130statistik okuryazarl\u0131\u011f\u0131 rehberiniz!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/tr\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"tr"},{"@type":"Person","@id":"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48","name":"Dr.benjamin anderson","image":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/statorials.org\/tr\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"Dr.benjamin anderson"},"description":"Merhaba, ben Benjamin, emekli bir istatistik profes\u00f6r\u00fc ve Statorials \u00f6\u011fretmenine d\u00f6n\u00fc\u015ft\u00fcm. \u0130statistik alan\u0131ndaki kapsaml\u0131 deneyimim ve uzmanl\u0131\u011f\u0131mla, \u00f6\u011frencilerimi Statorials arac\u0131l\u0131\u011f\u0131yla g\u00fc\u00e7lendirmek i\u00e7in bilgilerimi payla\u015fmaya can at\u0131yorum. Daha fazlas\u0131n\u0131 bil","sameAs":["https:\/\/statorials.org\/tr"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/posts\/1649","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/comments?post=1649"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/posts\/1649\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/media?parent=1649"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/categories?post=1649"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/tr\/wp-json\/wp\/v2\/tags?post=1649"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
 Hangi e\u011frinin verilere en iyi \u015fekilde uydu\u011funu belirlemek i\u00e7in her modelin d\u00fczeltilmi\u015f R karesine<\/a> bakabiliriz.<\/span><\/p>\n