{"id":1988,"date":"2018-02-21T16:23:33","date_gmt":"2018-02-21T16:23:33","guid":{"rendered":"http:\/\/sadievrenseker.com\/wp\/?p=1988"},"modified":"2018-05-12T10:02:40","modified_gmt":"2018-05-12T10:02:40","slug":"uygulamali-veri-bilimi-data-science-practicum","status":"publish","type":"post","link":"https:\/\/sadievrenseker.com\/?p=1988","title":{"rendered":"Uygulamal\u0131 Veri Bilimi (Data Science Practicum)"},"content":{"rendered":"<p style=\"text-align: center;\">T. C. \u0130stanbul \u015eehir \u00dcniversitesi<\/p>\n<p style=\"text-align: center;\">\u0130\u015f Analiti\u011fi Y\u00fcksek Lisans Dersi<\/p>\n<p style=\"text-align: center;\">Ders izlencesi ve ders ile ilgili faydal\u0131 i\u00e7erik<\/p>\n<p><strong>Dersin Ad\u0131<\/strong>: Uygulamal\u0131 \u0130leri \u0130\u015f Analiti\u011fi Y\u00f6ntemleri, U\u00e7tan Uca Veri Bilimi Uygulamalar\u0131 (End-to-end Data Science Practicum)<\/p>\n<p><strong>Dersin Kodu:<\/strong> IAN 506<\/p>\n<p><strong>D\u00f6nemi:<\/strong> Bahar 2018<\/p>\n<p><strong>Kredisi :<\/strong> 3<\/p>\n<p><strong>\u00d6\u011fretim \u00dcyesi:<\/strong> Do\u00e7. Dr. \u015eadi Evren \u015eEKER<\/p>\n<p><strong>\u0130leti\u015fim:<\/strong> veribilimi2018@sadievrenseker.com<\/p>\n<p><strong>Ders \u0130\u00e7eri\u011fi:<\/strong><br \/>\nBu dersin amac\u0131, y\u00fcksek lisans program\u0131nda bulunan derslerde edinilen bilgi birikimini peki\u015ftirmek ve birle\u015ftirmektir. Bu ama\u00e7la tan\u0131mlay\u0131c\u0131 analitik (Descriptive analytics), tahminci analitik (predictive analytics) ve buyruk\u00e7u analitik ( prescriptive analytics) kavramlar\u0131 birle\u015ftirilerek uygulamalar yap\u0131lacakt\u0131r. Ders kapsam\u0131nda a\u015fa\u011f\u0131da listelenen ara\u00e7lar kar\u015f\u0131la\u015ft\u0131rmal\u0131 olarak kullan\u0131lacakt\u0131r:<\/p>\n<ul>\n<li>Rapid Miner<\/li>\n<li>R<\/li>\n<li>Python<\/li>\n<li>Knime<\/li>\n<li>Weka<\/li>\n<\/ul>\n<p>Ayr\u0131ca g\u00fcncel konulara da yer verilecek ve \u00f6rne\u011fin derin \u00f6\u011frenme gibi konular i\u00e7in de tensor flow benzeri k\u00fct\u00fcphanelere giri\u015f yap\u0131lacakt\u0131r.<\/p>\n<p>Dersin amac\u0131, kat\u0131l\u0131mc\u0131lar\u0131, veri bilimi, veri analiti\u011fi ve i\u015f analiti\u011fi d\u00fcnyas\u0131nda kullan\u0131lan temel teknolojileri, algoritmalar\u0131 ve g\u00f6rselle\u015ftirme \/ analiz ara\u00e7lar\u0131n\u0131 temel d\u00fczeyde kullanacak seviyeye getirmektir.<\/p>\n<p><strong>Kaynak Kitaplar<\/strong><\/p>\n<ul>\n<li>Python for Data Analysis, 2nd Edition\u00a0Data Wrangling with Pandas, NumPy, and IPython, \u00a0William McKinney, 2017<\/li>\n<li>Learning scikit-learn: Machine Learning in Python\u00a0Paperback\u00a0\u2013 November 25, 2013, Ra\u00fal Garreta, Guillermo Moncecchi<\/li>\n<li>Building Machine Learning Systems with Python\u00a0, Willi Richert, Luis Pedro Coelho\u00a0, 2013<\/li>\n<\/ul>\n<p>Ders boyunca \u00f6\u011frencilere okumalar\u0131 gereken baz\u0131 ufak vaka \u00e7al\u0131\u015fmalar\u0131 ile makaleler verilecektir.<\/p>\n<p><strong>Vaka \u00c7al\u0131\u015fmalar\u0131:<\/strong><br \/>\nDers kapsam\u0131nda, uygulama e\u011fitim yolu izlenecektir ve \u00e7ok say\u0131da vaka \u00fczerinde veri analizi python dili kullan\u0131larak yap\u0131lacakt\u0131r. Ders kapsam\u0131nda verilen \u00f6rnek veri k\u00fcmeleri \u00fczerinde kat\u0131l\u0131mc\u0131lar\u0131 ger\u00e7ek hayat projelerini uygulamalar\u0131 beklenmektedir.<\/p>\n<p><strong>\u00d6devler:<\/strong><br \/>\nDers kapsam\u0131nda, 5 farkl\u0131 \u00f6dev verilmesi planlanmaktad\u0131r. Bu \u00f6devlerin s\u00fcresi bir hafta ile iki hafta aras\u0131nda de\u011fi\u015fmekle birlikte genelde her hafta yeni bir \u00f6dev verilecektir. \u00d6devler bireysel olarak yap\u0131lacakt\u0131r.<\/p>\n<p><strong>Projeler:<\/strong><\/p>\n<p>Ders kapsam\u0131nda, her \u00f6\u011frenciye bir d\u00f6nem projesi verilmesi ve projenin ba\u015ftan sona \u00f6\u011frenci taraf\u0131ndan y\u00fcr\u00fct\u00fclerek raporunun ve sunumunun haz\u0131rlanmas\u0131 beklenmektedir. Projelerin rapor ve proje dosyas\u0131 d\u0131\u015f\u0131nda sunumlar\u0131 19 ve 26 May\u0131s tarihlerinde yap\u0131lacakt\u0131r. En ge\u00e7 proje teslim tarihi (rapor + sunum + proje dosyas\u0131) 18 May\u0131s&#8217;t\u0131r. <strong>(G\u00fcncellendi:<\/strong> Proje teslim tarihleri a\u015fa\u011f\u0131daki notlama k\u0131sm\u0131nda belirtilen \u015fekilde g\u00fcncellenmi\u015ftir).<\/p>\n<p><strong>Proje Notlama:\u00a0<\/strong><\/p>\n<ul>\n<li>Sunum g\u00fcn\u00fc sabah 9&#8217;da yap\u0131lacak yoklama : 10%<\/li>\n<li>25 May\u0131s 2018 (sunumdan bir g\u00fcn \u00f6nce) en ge\u00e7 gece yar\u0131s\u0131na kadar proje raporu ve sunumu yollam\u0131\u015f olmak : 10%<\/li>\n<li>U\u00e7tan uca (CRISP-DM ad\u0131mlar\u0131n\u0131n tamam\u0131 sorgulanacakt\u0131r) \u00e7al\u0131\u015fan bir proje teslimi : 40%<\/li>\n<li>Problemi do\u011fru adreslemek ve tam olarak \u00e7\u00f6zen bir model geli\u015ftirmek : 10%<\/li>\n<li>Do\u011fru veri \u00f6n i\u015fleme ad\u0131mlar\u0131 : 10%<\/li>\n<li>Do\u011fru modellerin denenmi\u015f olmas\u0131 : 10%<\/li>\n<li>Modellerin iyile\u015ftirilmesi : 10%<\/li>\n<li>Do\u011fru de\u011ferlendirme kriterlerinin tan\u0131m\u0131 ve modellerin \u00f6l\u00e7\u00fcm\u00fc : 10%<\/li>\n<\/ul>\n<p><strong>Ders i\u00e7i uygulamalar:<\/strong><br \/>\nDerste anlat\u0131lan konular, kat\u0131l\u0131mc\u0131lar ile birlikte birebir \u00f6rnek veriler \u00fczerinde uygulanacakt\u0131r. Bu y\u00fczden kat\u0131l\u0131mc\u0131la\u0131rn bilgisayarlar\u0131n\u0131 getirmeleri ve ilk derste anlat\u0131lan python yaz\u0131l\u0131m\u0131n\u0131 kurmalar\u0131 gerekmektedir, ayr\u0131ca her ders i\u00e7in gereken ilave k\u00fct\u00fcphaneler bir \u00f6nceki derste veya ilgili derste anlat\u0131lacakt\u0131r.<\/p>\n<p><strong>Derste ula\u015f\u0131lmas\u0131 hedeflenenler:<\/strong><\/p>\n<ol>\n<li>Veri bilimi proje y\u00f6netim tekniklerini ve projenin ba\u015flang\u0131\u00e7, biti\u015f ko\u015fullar\u0131n\u0131 tan\u0131mlayabiliyor olmak.<\/li>\n<li>Bir veri bilimi projesini ba\u015ftan sona y\u00f6netebiliyor olmak.<\/li>\n<li>Veri bilimi i\u00e7in kritik olan problem alg\u0131lama, problemleri s\u0131n\u0131fland\u0131rma ve literat\u00fcrde konumlama yetene\u011fine sahip olmak.<\/li>\n<li>Gerekli veri \u00f6n i\u015fleme a\u015famalar\u0131n\u0131 yapabiliyor olmak ve proje s\u00fcrecinde do\u011fru \u00f6n i\u015fleme a\u015famalar\u0131na karar vermek<\/li>\n<li>Veri bilimi d\u00fcnyas\u0131nda s\u0131k kullan\u0131lan makine \u00f6\u011frenmesi ve istatistiksel modelleri tan\u0131yor ve probleme uygun olarak do\u011fru parametrelerle kullanabiliyor olmak.<\/li>\n<li>Veri bilimi projesinin \u00e7\u0131kt\u0131lar\u0131n\u0131 do\u011fru yarg\u0131layabiliyor ve sunabiliyor olmak.<\/li>\n<\/ol>\n<p><strong>Ders \u0130zlencesi:<\/strong><\/p>\n<ul>\n<li><strong>Hafta 1 (10 Mart):<\/strong> Derse giri\u015f, izlenecek metodoloji (CRISP-DM), Veri \u00d6ni\u015fleme kavramlar\u0131na giri\u015f<\/li>\n<li><strong>Hafta 2 ( 17 Mart):<\/strong> Veri \u00d6ni\u015fleme \u00f6rnekleri (<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/KNIME_project79.knwf_.zip\">knime dosyas\u0131n\u0131 indirmek i\u00e7in t\u0131klay\u0131n\u0131z<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/verionisleme_knime.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2038\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/verionisleme_knime-300x215.png\" alt=\"\" width=\"300\" height=\"215\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/verionisleme_knime-300x215.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/verionisleme_knime-768x551.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/verionisleme_knime-1024x735.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/verionisleme_knime.png 1720w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>Hafta 3 (24 Mart) :<\/strong> Regresyon modellerine giri\u015f (basit do\u011frusal, \u00e7oklu do\u011frusal regresyon (multiple linear regression)) , korelasyon matrisi, p-value ve de\u011fi\u015fken se\u00e7imi, backward elimination, forward selection\u00a0 (knime dosyalar\u0131: <a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/polynomial_regression.knwf_.zip\">dosya 1<\/a> , <a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/ileri_feature_selection_backward_elimination.knar_.knwf_.zip\">dosya 2<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/feature_selection.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2037\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/feature_selection-300x150.png\" alt=\"\" width=\"300\" height=\"150\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/feature_selection-300x150.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/feature_selection-768x385.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/feature_selection-1024x514.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/feature_selection.png 1802w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>Hafta 4 (31 Mart):<\/strong> Regresyon modelleri ve kar\u015f\u0131la\u015ft\u0131rma y\u00f6ntemleri (Decision Tree, Random Forest, Linear, Polynomial)\u00a0 (<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/KNIME_regression_modeller.knwf_.zip\">knime dosyas\u0131n\u0131 indirmek i\u00e7in t\u0131klay\u0131n\u0131z<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/regresyon_karsilastirma.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2039\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/regresyon_karsilastirma-300x203.png\" alt=\"\" width=\"300\" height=\"203\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/regresyon_karsilastirma-300x203.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/regresyon_karsilastirma-768x520.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/regresyon_karsilastirma-1024x694.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/regresyon_karsilastirma.png 1762w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>Hafta 5 (7 Nisan):<\/strong> Tahmin modellerinin kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131 (R2 ve adjusted R2 hesaplanmas\u0131), S\u0131n\u0131fland\u0131rma problemlerine giri\u015f ve Logistic Regression\n<ul>\n<li><strong>Proje Konusu:<\/strong> D\u00f6nem sonuna kadar yapmay\u0131 planlad\u0131\u011f\u0131n\u0131z bir proje konusu belirleyiniz. Proje konusu ile ilgili konuyu a\u00e7\u0131klayan (i\u015f s\u00fcreci ve veri a\u00e7\u0131klamas\u0131 \u00e7ok \u00f6nemli (crisp-dm hat\u0131rlay\u0131n\u0131z)) ve tahmini olarak izleyece\u011finiz veri \u00f6n i\u015fleme, model olu\u015fturma ve de\u011ferlendirme ad\u0131mlar\u0131n\u0131 i\u00e7eren bir raporu g\u00f6nderiniz (teslim tarihi: 14 Nisan).<\/li>\n<li><strong>\u00d6dev 1<\/strong>: Tahmin (Prediction Uygulamas\u0131): Geli\u015ftirece\u011finiz veri \u00f6ni\u015fleme ve tahmin y\u00f6ntemleri ile g\u00fcnl\u00fck borsa tahmini, ve dolar kuru tahmini yapan knime projeleri geli\u015ftiriniz, ba\u015far\u0131n\u0131z\u0131 nas\u0131l \u00f6l\u00e7t\u00fc\u011f\u00fcn\u00fcz\u00fc tart\u0131\u015f\u0131n\u0131z ve ba\u015far\u0131n\u0131n iyile\u015ftirilmesi i\u00e7in izledi\u011finiz yollar\u0131 anlat\u0131n\u0131z. (teslim tarihi: 21 Nisan)<\/li>\n<li>Logistic Regression ve S\u0131n\u0131fland\u0131rmaya giri\u015f (<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/logistic_regression.knwf_.zip\">knime dosyas\u0131n\u0131 indirmek i\u00e7in<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_logistic.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2053\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_logistic-300x193.png\" alt=\"\" width=\"300\" height=\"193\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_logistic-300x193.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_logistic-768x494.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_logistic-1024x658.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_logistic.png 1708w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li>K-NN ve Mesafe Fonksiyonlar\u0131 (<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knn_distance_metrics.knwf_.zip\">knime dosyas\u0131n\u0131 indirmek i\u00e7in<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knn_distance.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2054\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knn_distance-300x153.png\" alt=\"\" width=\"300\" height=\"153\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knn_distance-300x153.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knn_distance-768x392.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knn_distance-1024x522.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knn_distance.png 1330w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<\/ul>\n<\/li>\n<li><strong>Hafta 6 (14 Nisan):<\/strong>\u00a0Zaman Serisi (Time Series Analysis) Analizi , S\u0131n\u0131fland\u0131rma algoritmalar\u0131, SVM, Decision Tree ve Random Forest\n<ul>\n<li><strong>Hat\u0131rlatma! :<\/strong> Proje konusu i\u00e7in son teslim tarihi gece yar\u0131s\u0131na kadard\u0131r.<\/li>\n<li><strong>\u00d6dev 1 De\u011ferlendirme:<\/strong> \u00d6dev 1&#8217;de kulland\u0131\u011f\u0131n\u0131z veri k\u00fcmesinden de faydalanarak (sadece son kolon i\u00e7in) a\u015fa\u011f\u0131daki tabloyu tamamlay\u0131n\u0131z (Teslim Tarihi 28 Nisan).<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev1_assesment.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2057\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev1_assesment-300x184.png\" alt=\"\" width=\"300\" height=\"184\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev1_assesment-300x184.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev1_assesment-768x470.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev1_assesment-1024x626.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>\u00d6dev 2:<\/strong> S\u0131n\u0131fland\u0131rma (Classification) Uygulamas\u0131: Kaggle \u00fczerindeki reklam takibi ve sahtekarl\u0131k yakalama ile ilgili \u015fu yar\u0131\u015fmaya kat\u0131l\u0131n\u0131z. (<a href=\"https:\/\/www.kaggle.com\/c\/talkingdata-adtracking-fraud-detection\/data\">link i\u00e7in t\u0131klay\u0131n\u0131z<\/a>) Burada bulunan e\u011fitim ve test verilerini indirerek en az, derste \u00f6\u011frendi\u011fimiz algoritmalar (Logistic Regression, KNN, SVM, Decision Tree, Random Forest) ve bu algoritmalar\u0131n parametrelerini kullanarak s\u0131n\u0131fland\u0131rma modellerinizi \u00e7al\u0131\u015ft\u0131r\u0131n\u0131z. (Teslim tarihi 28 Nisan)<\/li>\n<li><strong>Proje \u0130lerleme Raporu 1:<\/strong> Projenizde CRISP-DM metodunu kullanarak 3 d\u00f6ng\u00fcde ilerlemeniz hedeflenmektedir. Dolay\u0131s\u0131yla, CRISP-DM&#8217;de bulunan ad\u0131mlar\u0131 3 kere d\u00f6necek ve her d\u00f6ng\u00fcde iyile\u015ftirmeler yapacaks\u0131n\u0131z. \u0130lk d\u00f6ng\u00fcn\u00fcn ilk iki ad\u0131m\u0131 olan problem analizi ve veri analizi raporlar\u0131n\u0131z\u0131 haz\u0131rlay\u0131n\u0131z (problemi ve veriyi tan\u0131mlay\u0131n). (Teslim tarihi 21 Nisan)<\/li>\n<li><strong>Zaman \u00d6znitelik \u00c7\u0131kar\u0131m\u0131<\/strong> (tarih ve Saat i\u00e7in): (<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/zaman_serisi2.knwf_.zip\">knime dosyas\u0131 i\u00e7in t\u0131klay\u0131n\u0131z<\/a>) (\u00f6rnek CSV dosyas\u0131 \u00f6dev 2&#8217;de bulunan kaggle projesindeki \u00f6rnek (train_sample.csv) dosyas\u0131d\u0131r)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/zamanserisi2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2059\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/zamanserisi2-300x162.png\" alt=\"\" width=\"300\" height=\"162\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/zamanserisi2-300x162.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/zamanserisi2-768x415.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/zamanserisi2.png 836w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>Zaman Serisi Analiz<\/strong>i ve bir \u00f6rnek olarak <strong>Hareketli Ortalam<\/strong>a (Moving Average):\u00a0(<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/KNIME_time_Series.knwf_.zip\">knime dosyas\u0131 i\u00e7in t\u0131klay\u0131n\u0131z<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_zamanserisi.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2060\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_zamanserisi-300x203.png\" alt=\"\" width=\"300\" height=\"203\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_zamanserisi-300x203.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/knime_zamanserisi.png 751w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/titanic.csv\">Titanic Veri K\u00fcmesi (CSV)<\/a><\/li>\n<li>S\u0131n\u0131fland\u0131rma \u00d6rne\u011fi (<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/titanic_siniflandirma.knwf_.zip\">Knime dosyas\u0131 i\u00e7in t\u0131klay\u0131n\u0131z<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/classification_SVM_DT_RF.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2068\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/classification_SVM_DT_RF-300x203.png\" alt=\"\" width=\"300\" height=\"203\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/classification_SVM_DT_RF-300x203.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/classification_SVM_DT_RF-768x519.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/classification_SVM_DT_RF.png 810w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<\/ul>\n<\/li>\n<li><strong>Hafta 7 ( 21 Nisan):<\/strong> S\u0131n\u0131fland\u0131rma Algoritmalar\u0131 \u00d6zet ve K\u00fcmeleme Algoritmalar\u0131\n<ul>\n<li><strong>Hat\u0131rlatma!:<\/strong> Proje ilerleme Raporu 1 ve 1. \u00d6dev i\u00e7in son teslim tarihi gece yar\u0131s\u0131na kadard\u0131r.<\/li>\n<li><strong>\u00d6dev 2 De\u011ferlendirme:<\/strong> \u00d6dev 2&#8217;de kulland\u0131\u011f\u0131n\u0131z veri k\u00fcmesinden de faydalanarak (sadece son kolon i\u00e7in) a\u015fa\u011f\u0131daki tabloyu tamamlay\u0131n\u0131z (Teslim Tarihi 5 May\u0131s).<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev2_degerlendirme.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2087\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev2_degerlendirme-300x126.png\" alt=\"\" width=\"300\" height=\"126\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev2_degerlendirme-300x126.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev2_degerlendirme-768x322.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/odev2_degerlendirme-1024x429.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>Proje ilerleme Raporu 2:<\/strong> Projenizde farkl\u0131 veri \u00f6n i\u015fleme y\u00f6ntemleri kullanarak \u00e7\u0131kt\u0131lar\u0131 kar\u015f\u0131la\u015ft\u0131r\u0131n\u0131z, i\u015flenmesi ve \u00e7\u00f6z\u00fclmesi gereken \u00f6nemli problemleri tan\u0131mlayarak hangi veri i\u015fleme y\u00f6ntemleri ile \u00e7\u00f6zd\u00fc\u011f\u00fcn\u00fcz\u00fc a\u00e7\u0131klay\u0131n\u0131z. (\u00f6rne\u011fin, eksik veri, g\u00fcr\u00fclt\u00fcl\u00fc veya kirli ver, tarih veya zaman alanlar\u0131, veri zenginle\u015ftirme, dengesiz veri vs.)<\/li>\n<li><strong>\u00d6dev 3:<\/strong> K\u00fcmeleme Problemleri Uygulamas\u0131: Ekte bulunan ba\u011flant\u0131dan Customer Excel dosyas\u0131n\u0131 indiriniz (<a href=\"https:\/\/www.kaggle.com\/lnvardanyan\/customer-segmentation\/data\">ba\u011flant\u0131 i\u00e7in t\u0131klay\u0131n\u0131z<\/a>) ard\u0131ndan Excel&#8217;de olu\u015fturulan \u00f6zet tabloyu (pivot) knime ile olu\u015fturun (Exceldeki sheet3 sayfas\u0131nda) ve kmeans algoritmas\u0131n\u0131 kullanarak derste yapt\u0131\u011f\u0131m\u0131z \u00fc\u00e7 i\u015flemin benzerlerini a\u015fa\u011f\u0131daki \u015fekilde ger\u00e7ekle\u015ftirin\u00a0(Teslim tarihi 12 May\u0131s)\n<ul>\n<li>1. m\u00fc\u015fteri segmentasyonunu olu\u015fturun (mant\u0131kl\u0131 olan \u00f6znitelikleri kullanarak)<\/li>\n<li>2. Aylara ve b\u00f6lgelere g\u00f6re pivot tablosunu olu\u015fturun<\/li>\n<li>3. indirim oran\u0131na g\u00f6re m\u00fc\u015fteri segmentlerini \u00e7\u0131kar\u0131n<\/li>\n<li>4. B\u00f6lgelere g\u00f6re segmentasyon yaparak teklifler (offerinformation) ve i\u015flemler (transaction) kar\u015f\u0131la\u015ft\u0131r\u0131n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Dengesiz Veri K\u00fcmeleri<\/strong> ( Unbalanaced Data Set) ve \u00e7\u00f6z\u00fcmleri : Under-sampling, SMOTE (<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/unbalanced.zip\">Knime dosyas\u0131n\u0131 ve \u00f6rnek veri k\u00fcmesini indirmek i\u00e7in t\u0131klay\u0131n\u0131z<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/unbalanced_dataset.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2079\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/unbalanced_dataset-300x221.png\" alt=\"\" width=\"300\" height=\"221\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/unbalanced_dataset-300x221.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/unbalanced_dataset-768x567.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/unbalanced_dataset.png 801w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>Okuma Konular\u0131:<\/strong>\n<ul>\n<li><a href=\"https:\/\/www.jair.org\/media\/953\/live-953-2037-jair.pdf\">SMOTE makalesi (JAIR&#8217;deki)\u00a0<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Receiver_operating_characteristic\">ROC Wikipedia<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Cumulative_accuracy_profile\">CAP Wikipedia<\/a><\/li>\n<\/ul>\n<\/li>\n<li><strong>M\u00fc\u015fteri Segmentasyonu \u00d6rne\u011fi (Customer Segmentation)<\/strong> ve Python Kodu ( <a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/customer_segmentation_ders.knwf_.zip\">Knime dosyalar\u0131n\u0131 indirmek i\u00e7in t\u0131klay\u0131n\u0131z<\/a>\u00a0, <a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/data.csv.zip\">Veri K\u00fcmesini indirmek i\u00e7in t\u0131klay\u0131n\u0131z<\/a>)<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/customer_segmentation.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2082\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/customer_segmentation-300x196.png\" alt=\"\" width=\"300\" height=\"196\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/customer_segmentation-300x196.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/customer_segmentation-768x503.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/customer_segmentation-1024x670.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/customer_segmentation.png 1684w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/pythonkodu.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2083\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/pythonkodu-300x118.png\" alt=\"\" width=\"300\" height=\"118\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/pythonkodu-300x118.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/pythonkodu-768x302.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/pythonkodu-1024x402.png 1024w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<\/ul>\n<\/li>\n<li><strong>Hafta 8 (28 Nisan):<\/strong> K\u00fcmeleme Algoritmalar\u0131 Devam\n<ul>\n<li><strong>Hat\u0131rlatma! :<\/strong> Proje \u0130lerleme Raporu 2, \u00d6dev 1 de\u011ferlendirme raporu ve \u00d6dev 2 i\u00e7in son teslim gece yar\u0131s\u0131na kadard\u0131r.<\/li>\n<li><strong>\u00d6dev 4:<\/strong> Bir \u00f6nceki \u00f6devde ( \u00d6dev 3) elde etti\u011finiz \u00f6nizlemesi tamamlanm\u0131\u015f veriyi, Hiyerar\u015fik B\u00f6l\u00fctleme \/ K\u00fcmeleme ve K-Means ve K-Medoids y\u00f6ntemlerine g\u00f6re b\u00f6l\u00fcmleyin. En verimli b\u00f6l\u00fct say\u0131s\u0131n\u0131 (WCSS dirsek metodunu ve dendrogram metodunu kullanarak) bulun ve \u00e7\u0131kan b\u00f6l\u00fcmleme sonu\u00e7lar\u0131n\u0131 raporlayarak kar\u015f\u0131la\u015ft\u0131r\u0131n. (Teslim tarihi 19 May\u0131s)<\/li>\n<li><strong>Proje ilerleme Raporu 3:<\/strong> Projenize uygun veri madencili\u011fi modellerini belirleyerek hangi y\u00f6ntemleri neden se\u00e7ti\u011finizi a\u00e7\u0131klay\u0131n\u0131z. Ard\u0131ndan, y\u00f6ntemleri deneyerek \u00e7\u0131kt\u0131lar\u0131 kar\u015f\u0131la\u015ft\u0131r\u0131n\u0131z. Kulland\u0131\u011f\u0131n\u0131z y\u00f6ntemlere uygun olarak de\u011ferlendirme (evaluation) metriklerini belirleyin, hangi metrikleri ve neden kulland\u0131\u011f\u0131n\u0131z\u0131 a\u00e7\u0131klay\u0131n. Son ad\u0131mda, y\u00f6ntemleri iyile\u015ftirmek i\u00e7in gerekli parametre iyile\u015ftirmelerini yaparak hangi parametreleri neden ve nas\u0131l iyile\u015ftirdi\u011finizi a\u00e7\u0131klay\u0131n\u0131z.<\/li>\n<li><strong>B\u00f6l\u00fctleme \/ K\u00fcmeleme Algoritmalar\u0131<\/strong> : K-Means, K-Medoids ve Hierarchical Clustering (HC) Y\u00f6ntemlerinin kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131. K-Means i\u00e7in WCSS kullan\u0131larak en optimum b\u00f6l\u00fct say\u0131s\u0131n\u0131n bulunmas\u0131 ve HC i\u00e7in dendrogram kullanarak en optimum b\u00f6l\u00fct say\u0131s\u0131n\u0131n bulunmas\u0131 ve HC i\u00e7in farkl\u0131 linkage y\u00f6ntemleri (min, Max, group average, center, ward&#8217;s method) : <a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/cluster_ders_cozum.knwf_.zip\">a\u015fa\u011f\u0131daki knime workflow&#8217;u indirmek i\u00e7in t\u0131klay\u0131n\u0131z.<\/a><\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/kumeleme_ders.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2090\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/kumeleme_ders-300x192.png\" alt=\"\" width=\"300\" height=\"192\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/kumeleme_ders-300x192.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/kumeleme_ders-768x491.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/kumeleme_ders-1024x655.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/kumeleme_ders.png 1632w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><strong>Yukar\u0131da yap\u0131lan workflow ad\u0131mlar\u0131:<\/strong><\/li>\n<li>1. Iris verisini y\u00fckleyin<br \/>\n1.1. column filter ile s\u0131n\u0131f bilgilerini at\u0131n<br \/>\n2. K-Means ve K-Medoids i\u00e7in<br \/>\n2.1. K\u00fcmeleme i\u00e7in en ideal K de\u011ferini bulun (entropy)<br \/>\n2.2. K-means ve K-medoids ile k\u00fcmeleme yap\u0131n<br \/>\n3. Hierarchical Clustering(HC) i\u00e7in en ideal K de\u011ferini bulun<br \/>\n(dendrogram kullanarak)<br \/>\n4. HC ile k\u00fcmeleme yap\u0131n<br \/>\n5. K = 3 i\u00e7in 3 y\u00f6ntemi de tekrar \u00e7al\u0131\u015ft\u0131r\u0131n<br \/>\n6. Orjinal S\u0131n\u0131f bilgileri ile K=3 i\u00e7in \u00e7\u0131kan sonu\u00e7lar\u0131 kar\u015f\u0131la\u015ft\u0131r\u0131n<br \/>\n7. Ba\u015far\u0131s\u0131 en y\u00fcksek olan b\u00f6l\u00fctleme y\u00f6ntemini raporlay\u0131n.<\/li>\n<li><strong>Elde edilen sonu\u00e7lar:<\/strong>HC : 150 &#8216;de 24 hata<br \/>\nKMeans : 17 hata<br \/>\nKMedoids : 16 hata<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u0130ptal : Hafta 9 ( 5 May\u0131s) :<\/strong> Bu hafta ders yap\u0131lmayacakt\u0131r.\n<ul>\n<li><strong>Hat\u0131rlatma! :<\/strong>\u00a0\u00d6dev 2 De\u011ferlendirme i\u00e7in ve Proje \u0130lerleme Raporu 3\u00a0i\u00e7in son teslim tarihi gece yar\u0131s\u0131na kadard\u0131r.<\/li>\n<li><strong>Proje ilerleme Raporu 4:<\/strong> Projenizdeki b\u00fct\u00fcn ad\u0131mlar\u0131 2. kere ge\u00e7erek ba\u015far\u0131da iyile\u015ftirmeye gitmeye \u00e7al\u0131\u015f\u0131n, denemelerinizi ve ula\u015ft\u0131\u011f\u0131n\u0131z sonu\u00e7lar\u0131 raporlay\u0131n.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Hafta 10 ( 12 May\u0131s):<\/strong> Metin Madencili\u011fi (Text Mining)\n<ul>\n<li><strong>Hat\u0131rlatma! :<\/strong>\u00a0\u00d6dev 3 ve Proje \u0130lerleme Raporu 4\u00a0i\u00e7in son teslim tarihi gece yar\u0131s\u0131na kadard\u0131r.<\/li>\n<li><strong>\u00d6dev 5:<\/strong>\u00a0RSS Feed kullanarak bir gazetenin ekonomi, politika ve magazin haberlerini \u00e7ekin (3 s\u0131n\u0131f olmas\u0131 yeterli, bu s\u0131n\u0131flar\u0131 de\u011fi\u015ftirebilirsiniz). Ard\u0131ndan bu haberleri etiketlemeden k\u00fcmeleme (clustering) algoritmalar\u0131 ile 5 farkl\u0131 k\u00fcmeye b\u00f6l\u00fcn. Orijinal verinizdeki 3 s\u0131n\u0131f\u0131n hangi k\u00fcmeye, ne oranda da\u011f\u0131ld\u0131\u011f\u0131n\u0131 bulun. \u00a0(Teslim tarihi 26 May\u0131s)<\/li>\n<li><strong>Proje ilerleme Raporu 5:<\/strong> Projenizdeki b\u00fct\u00fcn ad\u0131mlar\u0131 3. kere ge\u00e7erek ba\u015far\u0131da iyile\u015ftirmeye gitmeye \u00e7al\u0131\u015f\u0131n, denemelerinizi ve ula\u015ft\u0131\u011f\u0131n\u0131z sonu\u00e7lar\u0131 raporlay\u0131n.<\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/Retail_service_attributes.csv\">Derste kullanaca\u011f\u0131m\u0131z \u00f6rnek metin dosyas\u0131 i\u00e7in t\u0131klay\u0131n\u0131z.\u00a0<\/a><\/li>\n<li>RSS Workflow \u00f6rne\u011fi (Eklentilerden : Palladian ve Text Processing Kurulu olmas\u0131 gerekir)<\/li>\n<li>Metin Etiketleme (tagging) ve etiket bulutu (tag cloud): <a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/text_processing_ders.knwf_.zip\">Knime Workflow indirmek i\u00e7in t\u0131klay\u0131n.<\/a><\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_etiketleme.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2101\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_etiketleme-300x226.png\" alt=\"\" width=\"300\" height=\"226\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_etiketleme-300x226.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_etiketleme-768x578.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_etiketleme-1024x771.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_etiketleme.png 1588w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/etiketbulutu.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2106\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/etiketbulutu-300x173.png\" alt=\"\" width=\"300\" height=\"173\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/etiketbulutu-300x173.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/etiketbulutu-768x443.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/etiketbulutu-1024x591.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/etiketbulutu.png 1442w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<li>Metin S\u0131n\u0131fland\u0131rma (Text Classification):\u00a0<a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_siniflandirma_ders.knwf_.zip\">Knime Workflow indirmek i\u00e7in t\u0131klay\u0131n.<\/a><\/li>\n<li><a href=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_siniflandirma.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-2102\" src=\"http:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_siniflandirma-300x214.png\" alt=\"\" width=\"300\" height=\"214\" srcset=\"https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_siniflandirma-300x214.png 300w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_siniflandirma-768x548.png 768w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_siniflandirma-1024x731.png 1024w, https:\/\/sadievrenseker.com\/wp-content\/uploads\/2018\/02\/metin_siniflandirma.png 1980w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Tatil: Hafta 11 ( 19 May\u0131s) :<\/strong> Peki\u015ftirmeli \u00d6\u011frenme Tekrar ve\u00a0Karma\u015f\u0131k Olay \u0130\u015fleme (Complex Event Processing)\n<ul>\n<li><strong>Hat\u0131rlatma! : \u00a0<\/strong>Proje \u0130lerleme Raporu 5 i\u00e7in son teslim tarihi gece yar\u0131s\u0131na kadard\u0131r. \u00a0Proje dosyalar\u0131n\u0131n teslimi i\u00e7in son tarih 25 May\u0131s gece yar\u0131s\u0131na kadard\u0131r. \u00d6dev 4 i\u00e7in son teslim tarihi gece yar\u0131s\u0131na kadard\u0131r.<\/li>\n<li><strong>Proje Nihayi Raporu ve Sunum:<\/strong> \u015eimdiye kadar olan proje ad\u0131mlar\u0131n\u0131 birle\u015ftirerek tek bir rapor haline getirin ve sunumunuzu haz\u0131rlayarak yollay\u0131n (Son Teslim Tarihi 25 May\u0131s gece yar\u0131s\u0131d\u0131r).<\/li>\n<\/ul>\n<\/li>\n<li><strong>Hafta 12 ( 26 May\u0131s) :<\/strong> Proje\u00a0Sunumlar\u0131, Saat 9:00&#8217;da ba\u015flayacakt\u0131r ve 9&#8217;da yoklama al\u0131nacakt\u0131r\n<ul>\n<li><strong>Hat\u0131rlatma!:<\/strong> Proje dosyalar\u0131n\u0131n teslimi i\u00e7in son tarih 25 May\u0131s gece yar\u0131s\u0131na kadard\u0131r. \u00d6dev 5 i\u00e7in son teslim tarihi gece yar\u0131s\u0131na kadard\u0131r.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<p><strong>Notlar\u00a0<\/strong><\/p>\n<p>Notlar\u0131n\u0131z teslimlere g\u00f6re buradan duyurulmaktad\u0131r. Ders kapsam\u0131nda ge\u00e7 g\u00f6nderme ile ilgili bir uygulama bulunmad\u0131\u011f\u0131 i\u00e7in (istisna olarak proje ile ilgili durum yukar\u0131da belirtilmi\u015ftir) l\u00fctfen vaktinde \u00f6dev ve projelerinizi teslim edin, aksi halde de\u011ferlendirmeye al\u0131nmayacakt\u0131r.<\/p>\n<p>Ki\u015fisel bilgilerin korunmas\u0131 gere\u011fi, isim yerine okul numaralar\u0131n\u0131z ile notlar\u0131n\u0131z duyurulmaktad\u0131r.<\/p>\n<table width=\"520\">\n<tbody>\n<tr>\n<td width=\"65\">\u00d6\u011frencinin numaras\u0131<\/td>\n<td width=\"65\">\u00d6dev 1<\/td>\n<td width=\"65\">A\u00e7\u0131klama<\/td>\n<td width=\"65\">\u00d6dev 1 De\u011ferlendirme<\/td>\n<td width=\"65\">\u00d6dev 2<\/td>\n<td width=\"65\">A\u00e7\u0131klama<\/td>\n<td colspan=\"2\" width=\"130\">\u00d6dev 2 de\u011ferlendirme<\/td>\n<\/tr>\n<tr>\n<td>317290717<\/td>\n<td>100<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317290718<\/td>\n<td>100<\/td>\n<td><\/td>\n<td>80<\/td>\n<td>100<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317290749<\/td>\n<td>100<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317291226<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317340543<\/td>\n<td>70<\/td>\n<td>rapor yok<\/td>\n<td>0<\/td>\n<td>100<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317341572<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317350880<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317401766<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317401777<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317410550<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>30<\/td>\n<td colspan=\"3\">Proje dosyas\u0131 yok, sadece rapor gelmi\u015f<\/td>\n<\/tr>\n<tr>\n<td>317411502<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317411574<\/td>\n<td>80<\/td>\n<td>rapor eksik<\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317412563<\/td>\n<td>70<\/td>\n<td>rapor yok<\/td>\n<td>0<\/td>\n<td>100<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317420715<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317422050<\/td>\n<td>100<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317792235<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317960719<\/td>\n<td>0<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>0<\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317961796<\/td>\n<td>100<\/td>\n<td><\/td>\n<td>100<\/td>\n<td>70<\/td>\n<td>rapor yok<\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>317963707<\/td>\n<td>100<\/td>\n<td><\/td>\n<td>0<\/td>\n<td>70<\/td>\n<td>rapor yok<\/td>\n<td>100<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>T. C. \u0130stanbul \u015eehir \u00dcniversitesi \u0130\u015f Analiti\u011fi Y\u00fcksek Lisans Dersi Ders izlencesi ve ders ile ilgili faydal\u0131 i\u00e7erik Dersin Ad\u0131: Uygulamal\u0131 \u0130leri \u0130\u015f Analiti\u011fi Y\u00f6ntemleri, U\u00e7tan Uca Veri Bilimi Uygulamalar\u0131 (End-to-end Data Science Practicum) Dersin Kodu: IAN 506 D\u00f6nemi: Bahar 2018 Kredisi : 3 \u00d6\u011fretim \u00dcyesi: Do\u00e7. Dr. \u015eadi Evren \u015eEKER \u0130leti\u015fim: veribilimi2018@sadievrenseker.com Ders \u0130\u00e7eri\u011fi: Bu dersin amac\u0131, y\u00fcksek lisans &hellip; <a href=\"https:\/\/sadievrenseker.com\/?p=1988\">Continue Reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1988","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts\/1988","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1988"}],"version-history":[{"count":25,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts\/1988\/revisions"}],"predecessor-version":[{"id":2107,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts\/1988\/revisions\/2107"}],"wp:attachment":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1988"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1988"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}