{"id":54096,"date":"2019-12-18T00:00:00","date_gmt":"2019-12-17T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/52-dataseta-dlya-trenirovochnyh-proektov"},"modified":"2020-02-18T14:02:04","modified_gmt":"2020-02-18T11:02:04","slug":"52-dataseta-dlya-trenirovochnyh-proektov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/52-dataseta-dlya-trenirovochnyh-proektov","title":{"rendered":"52 dataset p\u00ebr projekte trajnimi","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<ol>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/shwetabh123\/mall-customers\">Mall Customers Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u0435\u043b\u0435\u0439 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430: id, \u043f\u043e\u043b, \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u0434\u043e\u0445\u043e\u0434, \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0442\u0440\u0430\u0442. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/r-data-science-project-customer-segmentation\/\">Customer Segmentation Project with Machine Learning<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/Iris\">Iris Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440\u044b \u0447\u0430\u0448\u0435\u043b\u0438\u0441\u0442\u0438\u043a\u043e\u0432 \u0438 \u043b\u0435\u043f\u0435\u0441\u0442\u043a\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0446\u0432\u0435\u0442\u043a\u043e\u0432.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/yann.lecun.com\/exdb\/mnist\/\">MNIST Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0440\u0443\u043a\u043e\u043f\u0438\u0441\u043d\u044b\u0445 \u0446\u0438\u0444\u0440. 60 000 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0438 10 000 \u0442\u0435\u0441\u0442\u043e\u0432\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cs.toronto.edu\/~delve\/data\/boston\/bostonDetail.html\">The Boston Housing Dataset<\/a><\/noindex> \u2014 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u043e\u0432. \u0421\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0434\u043e\u043c\u0430\u0445 \u0432 \u0411\u043e\u0441\u0442\u043e\u043d\u0435: \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043a\u0432\u0430\u0440\u0442\u0438\u0440, \u0441\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c \u0430\u0440\u0435\u043d\u0434\u044b, \u0438\u043d\u0434\u0435\u043a\u0441 \u043f\u0440\u0435\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/c\/fake-news\/data\">Fake News Detection Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 7796 \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0441 \u0440\u0430\u0437\u043c\u0435\u0442\u043a\u043e\u0439 \u043d\u043e\u0432\u043e\u0441\u0442\u0435\u0439: \u043f\u0440\u0430\u0432\u0434\u0430 \u0438\u043b\u0438 \u043b\u043e\u0436\u044c. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/advanced-python-project-detecting-fake-news\/\">Fake News Detection Python Project <\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/wine+quality\">Wine quality dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0432\u0438\u043d\u0435: 4898 \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0441 14 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0430\u043c\u0438.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/wiki.stat.ucla.edu\/socr\/index.php\/SOCR_Data_Dinov_020108_HeightsWeights\">SOCR data \u2013 Heights and Weights Dataset<\/a><\/noindex> \u2014 \u0445\u043e\u0440\u043e\u0448\u0438\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0434\u043b\u044f \u0441\u0442\u0430\u0440\u0442\u0430. \u0421\u043e\u0434\u0435\u0440\u0436\u0438\u0442 25 000 \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u043e \u0440\u043e\u0441\u0442\u0435 \u0438 \u0432\u0435\u0441\u0435 18-\u0442\u0438 \u043b\u0435\u0442\u043d\u0438\u0445 \u043b\u044e\u0434\u0435\u0439.<br \/>\n<blockquote><p><noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/\" title=\"EDISON Software - zhvillim web\"><img decoding=\"async\" alt=\"52 dataset p\u00ebr projekte trajnimi\" src=\"\/wp-content\/uploads\/2019\/12\/63d7c86bf20e229a14da7e4dd758d5df.png\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><br clear=\"right\"><br \/>\nArtikulli \u00ebsht\u00eb p\u00ebrkthyer me mb\u00ebshtetje nga kompania EDISON Software, e cila <noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/ru\/o_kompanii\/novosti\/desyat-plyusov-edison\">\u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u00ab\u043d\u0430 \u043e\u0442\u043b\u0438\u0447\u043d\u043e\u00bb \u0437\u0430\u043a\u0430\u0437\u044b \u0438\u0437 \u042e\u0436\u043d\u043e\u0433\u043e \u041a\u0438\u0442\u0430\u044f<\/a><\/noindex>, si dhe <noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/ru\/proekty\/sozdaniye_saytov\">\u0440\u0430\u0437\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0435\u0442 \u0432\u0435\u0431-\u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0438 \u0441\u0430\u0439\u0442\u044b<\/a><\/noindex>.<\/p><\/blockquote>\n<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/parkinsons\">Parkinson Dataset<\/a><\/noindex> \u2014 195 \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u043e \u043f\u0430\u0446\u0438\u0435\u043d\u0442\u0430\u0445 \u0441 \u0431\u043e\u043b\u0435\u0437\u043d\u044c\u044e \u041f\u0430\u0440\u043a\u0438\u043d\u0441\u043e\u043d\u0430, \u0441 25 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0430\u043c\u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u043e\u0432. \u041c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0434\u043b\u044f \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u043e\u0446\u0435\u043d\u043a\u0438 \u043e\u0442\u043b\u0438\u0447\u0438\u044f \u0431\u043e\u043b\u044c\u043d\u044b\u0445 \u043b\u044e\u0434\u0435\u0439 \u043e\u0442 \u0437\u0434\u043e\u0440\u043e\u0432\u044b\u0445. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-machine-learning-project-detecting-parkinson-disease\/\">Machine Learning Project on Detecting Parkinson\u2019s Disease<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/web.stanford.edu\/class\/archive\/cs\/cs109\/cs109.1166\/problem12.html\">Titanic Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043f\u0440\u043e \u043f\u0430\u0441\u0441\u0430\u0436\u0438\u0440\u043e\u0432 (\u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u043f\u043e\u043b, \u0440\u043e\u0434\u0441\u0442\u0432\u0435\u043d\u043d\u0438\u043a\u0438 \u043d\u0430 \u0431\u043e\u0440\u0442\u0443 \u0438 \u043f\u0440) 891 \u0432 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u043e\u043c \u0441\u0435\u0442\u0435 \u0438 418 \u2014 \u0432 \u0442\u0435\u0441\u0442\u043e\u0432\u043e\u043c.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/fivethirtyeight\/uber-pickups-in-new-york-city\">Uber Pickups Dataset<\/a><\/noindex> \u2014 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e 4.5 \u043c\u0438\u043b\u043b\u0438\u043e\u043d\u0430\u0445 \u043f\u043e\u0435\u0437\u0434\u043e\u043a \u043d\u0430 Uber 2014 \u0433\u043e\u0434\u0430 \u0438 14 \u043c\u043b\u043d. 2015 \u0433\u043e\u0434\u0430. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 R: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/r-data-science-project-uber-data-analysis\/\">Uber Data Analysis Project in R<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/www.ee.surrey.ac.uk\/CVSSP\/demos\/chars74k\/\">Chars74k Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0411\u0440\u0438\u0442\u0430\u043d\u0441\u043a\u0438\u0445 \u0438 \u041a\u0430\u043d\u0430\u0434\u0441\u043a\u0438\u0445 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432 64 \u043a\u043b\u0430\u0441\u0441\u043e\u0432: 0-9, A-Z, a-z. 7700 7.7k \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, 3400k\u043d\u0430\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u0445 \u043e\u0442 \u0440\u0443\u043a\u0438, 62000 \u0441\u0438\u043d\u0442\u0435\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043e\u043c \u0448\u0440\u0438\u0444\u0442\u043e\u0432.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/mlg-ulb\/creditcardfraud\">Credit Card Fraud Detection Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0442\u0440\u0430\u043d\u0437\u0430\u043a\u0446\u0438\u044f\u0445 \u0441\u043a\u043e\u043c\u043f\u0440\u043e\u043c\u0435\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043a\u0440\u0435\u0434\u0438\u0442\u043d\u044b\u0445 \u043a\u0430\u0440\u0442\u0430\u0445. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/data-science-machine-learning-project-credit-card-fraud-detection\/\">Credit Card Fraud Detection Machine Learning Project<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/katanaml\/katana-assistant\/blob\/master\/mlbackend\/intents.json\">Chatbot Intents Dataset<\/a><\/noindex> \u2014 JSON-\u0444\u0430\u0439\u043b, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0442\u044d\u0433\u0438: greetings, goodbye, hospital_search, pharmacy_search, \u0438 \u0442\u0434. \u0421\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u043d\u0430\u0431\u043e\u0440 \u0448\u0430\u0431\u043b\u043e\u043d\u043e\u0432 \u00ab\u0432\u043e\u043f\u0440\u043e\u0441-\u043e\u0442\u0432\u0435\u0442\u00bb. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-chatbot-project\/\">Chatbot Project in Python<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cs.cmu.edu\/~enron\/\">Enron Email Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u043f\u043e\u043b \u043c\u0438\u043b\u043b\u0438\u043e\u043d\u0430 \u043f\u0438\u0441\u0435\u043c \u043e\u0442 150 \u043c\u0435\u043d\u0435\u0434\u0436\u0435\u0440\u043e\u0432 Enron.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.yelp.com\/dataset\">The Yelp Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 1,2 \u043c\u043b\u043d. \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u0439 \u043e\u0442 1,6 \u043c\u043b\u043d. \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u043f\u0440\u043e 1,2 \u043c\u043b\u043d \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0439.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1uyd0t\/200000_jeopardy_questions_in_a_json_file\/\">Jeopardy Dataset<\/a><\/noindex> \u2014 \u0431\u043e\u043b\u0435\u0435 200 000 \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u00ab\u0432\u043e\u043f\u0440\u043e\u0441-\u043e\u0442\u0432\u0435\u0442\u00bb \u0438\u0437 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u043e\u0439 \u0442\u0435\u043b\u0435\u0432\u0438\u0437\u0438\u043e\u043d\u043d\u043e\u0439 \u0438\u0433\u0440\u044b.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/cseweb.ucsd.edu\/~jmcauley\/datasets.html\">Recommender Systems Dataset<\/a><\/noindex> \u2014 \u043f\u043e\u0440\u0442\u0430\u043b \u0441 \u043a\u043e\u043b\u043b\u0435\u043a\u0446\u0438\u0435\u0439 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u043e\u0432 \u043e\u0442 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 UCSD. \u0421\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0437\u0430\u043f\u0438\u0441\u0438 \u043e\u0431 \u043e\u0442\u0437\u044b\u0432\u0430\u0445 \u043d\u0430 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0445 \u0441\u0430\u0439\u0442\u0430\u0445 (Goodreads, Amazon). \u041e\u0442\u043b\u0438\u0447\u043d\u043e \u043f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 R: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/data-science-r-movie-recommendation\/\">Movie Recommendation System Project in R<\/a><\/noindex> <\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/Spambase\">UCI Spambase Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043a\u0438 \u0434\u043b\u044f \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0441\u043f\u0430\u043c\u0430. \u0421\u043e\u0434\u0435\u0440\u0436\u0438\u0442 4601 \u043f\u0438\u0441\u0435\u043c \u0441 57 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0430\u043c\u0438 \u043c\u0435\u0442\u0430\u0434\u0430\u043d\u043d\u044b\u0445.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/hsankesara\/flickr-image-dataset\">Flickr 30k Dataset<\/a><\/noindex> \u2014 \u0431\u043e\u043b\u0435\u0435 30 000 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0438 \u043f\u043e\u0434\u043f\u0438\u0441\u0435\u0439 \u043a \u043d\u0438\u043c. <i>(<noindex><a rel=\"nofollow\" href=\"https:\/\/forms.illinois.edu\/sec\/1713398\">Flickr 8k Dataset<\/a><\/noindex> \u2014 8000 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. \u041f\u0440\u043e\u0435\u043a\u0442 \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-based-project-image-caption-generator-cnn\/\">Image Caption Generator Python Project<\/a><\/noindex>)<\/i><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/ai.stanford.edu\/~amaas\/data\/sentiment\/\">IMDB reviews<\/a><\/noindex> \u2014 25 000 \u043e\u0442\u0437\u044b\u0432\u043e\u0432 \u043d\u0430 \u0444\u0438\u043b\u044c\u043c\u044b \u0432 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u043e\u043c \u043d\u0430\u0431\u043e\u0440\u0435 \u0438 25 000 \u0432 \u0442\u0435\u0441\u0442\u043e\u0432\u043e\u043c. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 R: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/data-science-r-sentiment-analysis-project\/\">Sentiment Analysis Data Science Project<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/cocodataset.org\/#home\">MS COCO dataset<\/a><\/noindex> \u2014 1,5 \u043c\u043b\u043d \u0440\u0430\u0437\u043c\u0435\u0447\u0435\u043d\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cs.toronto.edu\/~kriz\/cifar.html\">CIFAR-10 and CIFAR-100 dataset<\/a><\/noindex> \u2014 CIFAR-10 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 60,000 \u043c\u0430\u043b\u0435\u043d\u044c\u043a\u0438\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 32*32 pixels \u0446\u0438\u0444\u0440 0-9. CIFAR-100 \u2014 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e, 0-100.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/benchmark.ini.rub.de\/?section=gtsrb&amp;subsection=dataset\">GTSRB (German traffic sign recognition benchmark) Dataset<\/a><\/noindex> \u2014 50 000 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 43 \u0434\u043e\u0440\u043e\u0436\u043d\u044b\u0445 \u0437\u043d\u0430\u043a\u043e\u0432. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-project-traffic-signs-recognition\/\">Traffic Signs Recognition Python Project<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/www.image-net.org\/\">ImageNet dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0431\u043e\u043b\u0435\u0435 100 000 \u0444\u0440\u0430\u0437 \u0438 \u043e\u043a\u043e\u043b\u043e 1000 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u043d\u0430 \u0444\u0440\u0430\u0437\u0443.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/paultimothymooney\/breast-histopathology-images\">Breast Histopathology Images Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043e\u0431\u0440\u0430\u0437\u0446\u043e\u0432 \u0440\u0430\u043a\u0430 \u043c\u043e\u043b\u043e\u0447\u043d\u043e\u0439 \u0436\u0435\u043b\u0435\u0437\u044b. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/project-in-python-breast-cancer-classification\/\">Breast Cancer Classification Python Project<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cityscapes-dataset.com\/\">Cityscapes Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u0430\u043d\u043d\u043e\u0442\u0430\u0446\u0438\u0438 \u0432\u0438\u0434\u0435\u043e\u043f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0435\u0439 \u0443\u043b\u0438\u0446 \u0440\u0430\u0437\u043d\u044b\u0445 \u0433\u043e\u0440\u043e\u0434\u043e\u0432.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/deepmind.com\/research\/open-source\/kinetics\">Kinetics Dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 URL-\u0441\u0441\u044b\u043b\u043a\u0443 \u043d\u0430 \u043e\u043a\u043e\u043b\u043e 6,5 \u043c\u0438\u043b\u043b\u0438\u043e\u043d\u043e\u0432 \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0445 \u0432\u0438\u0434\u0435\u043e.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/human-pose.mpi-inf.mpg.de\/#\">MPII human pose dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 25 000 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u0438\u0445 \u043f\u043e\u0437 \u0441 \u0430\u043d\u043d\u043e\u0442\u0430\u0446\u0438\u0435\u0439 \u043f\u043e \u0441\u0443\u0441\u0442\u0430\u0432\u0430\u043c.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/20bn.com\/datasets\/something-something\/v2\">20BN-something-something dataset v2<\/a><\/noindex> \u2014 \u043d\u0430\u0431\u043e\u0440 \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0445 \u0432\u0438\u0434\u0435\u043e, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u043a\u0430\u043a \u0447\u0435\u043b\u043e\u0432\u0435\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u043a\u0430\u043a\u0438\u0435-\u0442\u043e \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.objects365.org\/overview.html\">Object 365 Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0432\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0441 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0432\u0430\u044e\u0449\u0438\u043c\u0438 \u0440\u0430\u043c\u043a\u0430\u043c\u0438 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/www.cs.cmu.edu\/~mengtial\/proj\/sketch\/\">Photo sketching dataset<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0431\u043e\u043b\u0435\u0435 1000 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0441 \u0438\u0445 \u043a\u043e\u043d\u0442\u0443\u0440\u043d\u044b\u043c\u0438 \u0447\u0435\u0440\u0442\u0435\u0436\u0430\u043c\u0438.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/headctstudy.qure.ai\/#dataset\">CQ500 Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 491 \u041a\u0422-\u0441\u043a\u0430\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0433\u043e\u043b\u043e\u0432\u044b \u0441 193 317 \u0441\u0440\u0435\u0437\u0430\u043c\u0438.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.vision.ee.ethz.ch\/cvl\/rrothe\/imdb-wiki\/\">IMDB-Wiki dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0441 \u0431\u043e\u043b\u0435\u0435 \u0447\u0435\u043c 5 \u043c\u043b\u043d. \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u043b\u0438\u0446 \u0441 \u043f\u043e\u043c\u0435\u0442\u043a\u043e\u0439 \u043f\u043e\u043b\u0430 \u0438 \u0432\u043e\u0437\u0440\u0430\u0441\u0442\u0430. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-project-gender-age-detection\/\">Gender &amp; Age Detection Python Project<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/research.google.com\/youtube8m\/\">Youtube 8M Dataset<\/a><\/noindex> \u2014 \u043c\u0430\u0440\u043a\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043d\u0430\u0431\u043e\u0440 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432\u0438\u0434\u0435\u043e, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 6,1 \u043c\u0438\u043b\u043b\u0438\u043e\u043d\u0430 \u0438\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440\u043e\u0432 \u0432\u0438\u0434\u0435\u043e Youtube<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/urbansounddataset.weebly.com\/urbansound8k.html\">Urban Sound 8K dataset<\/a><\/noindex> \u2014 \u043d\u0430\u0431\u043e\u0440 \u0433\u043e\u0440\u043e\u0434\u0441\u043a\u0438\u0445 \u0437\u0432\u0443\u043a\u043e\u0432\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 (\u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 8732 \u0433\u043e\u0440\u043e\u0434\u0441\u043a\u0438\u0445 \u0437\u0432\u0443\u043a\u0430 \u0438\u0437 10 \u043a\u043b\u0430\u0441\u0441\u043e\u0432).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.yf.io\/p\/lsun\">LSUN Dataset<\/a><\/noindex> \u2014 \u043d\u0430\u0431\u043e\u0440 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438\u0437 \u043c\u0438\u043b\u043b\u0438\u043e\u043d\u043e\u0432 \u0446\u0432\u0435\u0442\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0441\u0446\u0435\u043d \u0438 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 (\u043e\u043a\u043e\u043b\u043e 59 \u043c\u0438\u043b\u043b\u0438\u043e\u043d\u043e\u0432 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, 10 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043a\u0430\u0442\u0435\u0433\u043e\u0440\u0438\u0439 \u0441\u0446\u0435\u043d \u0438 20 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043a\u0430\u0442\u0435\u0433\u043e\u0440\u0438\u0439 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/zenodo.org\/record\/1188976#.Xc-P7VczbIU\">RAVDESS Dataset<\/a><\/noindex> \u2014 \u0430\u0443\u0434\u0438\u043e\u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u0430\u044f \u0431\u0430\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u044d\u043c\u043e\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0439 \u0440\u0435\u0447\u0438. (<i>\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0441 \u0438\u0441\u0445\u043e\u0434\u043d\u0438\u043a\u043e\u043c \u043d\u0430 <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-mini-project-speech-emotion-recognition\/\">Speech Emotion Recognition Python Project<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/www.openslr.org\/12\">Librispeech Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 1000 \u0447\u0430\u0441\u043e\u0432 \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u043e\u0439 \u0440\u0435\u0447\u0438 \u0441 \u0440\u0430\u0437\u043d\u044b\u043c\u0438 \u0430\u043a\u0446\u0435\u043d\u0442\u0430\u043c\u0438.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/apolloscape.auto\/\">Baidu Apolloscape Dataset<\/a><\/noindex> \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044f \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 \u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0432\u043e\u0436\u0434\u0435\u043d\u0438\u044f. <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.quandl.com\/\">Quandl Data Portal<\/a><\/noindex> \u2014 \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435 \u044d\u043a\u043e\u043d\u043e\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0438 \u0444\u0438\u043d\u0430\u043d\u0441\u043e\u0432\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 (\u0435\u0441\u0442\u044c \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u0438 \u043f\u043b\u0430\u0442\u043d\u044b\u0439 \u043a\u043e\u043d\u0442\u0435\u043d\u0442).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.worldbank.org\/\">The World Bank Open Data Portal<\/a><\/noindex> \u2014 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e \u0437\u0430\u0439\u043c\u0430\u0445, \u0432\u044b\u0434\u0430\u043d\u043d\u044b\u0445 \u0412\u0441\u0435\u043c\u0438\u0440\u043d\u044b\u043c \u0431\u0430\u043d\u043a\u043e\u043c \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0438\u043c\u0441\u044f \u0441\u0442\u0440\u0430\u043d\u0430\u043c.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.imf.org\/en\/Data\">IMF Data Portal<\/a><\/noindex> \u2014 \u043f\u043e\u0440\u0442\u0430\u043b \u043c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u043e\u0433\u043e \u0432\u0430\u043b\u044e\u0442\u043d\u043e\u0433\u043e \u0444\u043e\u043d\u0434\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u0443\u0431\u043b\u0438\u043a\u0443\u0435\u0442 \u0434\u0430\u043d\u043d\u044b\u0435 \u043e \u043c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u044b\u0445 \u0444\u0438\u043d\u0430\u043d\u0441\u0430\u0445, \u0441\u0442\u0430\u0432\u043a\u0430\u0445 \u0434\u043e\u043b\u0433\u0430, \u0438\u043d\u0432\u0435\u0441\u0442\u0438\u0446\u0438\u044f\u0445, \u0432\u0430\u043b\u044e\u0442\u043d\u044b\u0445 \u0440\u0435\u0437\u0435\u0440\u0432\u0430\u0445 \u0438 \u0442\u043e\u0432\u0430\u0440\u0430\u0445.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.aeaweb.org\/resources\/data\">American Economic Association (AEA) Data Portal<\/a><\/noindex> \u2014 \u0440\u0435\u0441\u0443\u0440\u0441 \u0434\u043b\u044f \u043f\u043e\u0438\u0441\u043a\u0430 \u043c\u0430\u043a\u0440\u043e\u044d\u043a\u043e\u043d\u043e\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u0421\u0428\u0410.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/trends.google.com\/trends\/\">Google Trends Data Portal<\/a><\/noindex> \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043e \u0442\u0435\u043d\u0434\u0435\u043d\u0446\u0438\u044f\u0445 Google \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0438\u0437\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/markets.ft.com\/data\/\">Financial Times Market Data Portal<\/a><\/noindex> \u2014 \u0440\u0435\u0441\u0443\u0440\u0441 \u0434\u043b\u044f \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e \u0444\u0438\u043d\u0430\u043d\u0441\u043e\u0432\u044b\u0445 \u0440\u044b\u043d\u043a\u0430\u0445 \u0441\u043e \u0432\u0441\u0435\u0433\u043e \u043c\u0438\u0440\u0430.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.data.gov\/\">Data.gov Portal<\/a><\/noindex> \u2014 \u043f\u043e\u0440\u0442\u0430\u043b \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u0440\u0430\u0432\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0430 \u0421\u0428\u0410 (\u0441\u0435\u043b\u044c\u0441\u043a\u043e\u0435 \u0445\u043e\u0437\u044f\u0439\u0441\u0442\u0432\u043e, \u0437\u0434\u0440\u0430\u0432\u043e\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435, \u043a\u043b\u0438\u043c\u0430\u0442, \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435, \u044d\u043d\u0435\u0440\u0433\u0435\u0442\u0438\u043a\u0430, \u0444\u0438\u043d\u0430\u043d\u0441\u044b, \u043d\u0430\u0443\u043a\u0430 \u0438 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u0442.\u0434.).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.gov.in\/\">Data Portal: Open government data (India)<\/a><\/noindex> \u2014 \u043e\u0442\u043a\u0440\u044b\u0442\u0430\u044f \u043f\u0440\u0430\u0432\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0435\u043d\u043d\u0430\u044f \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0418\u043d\u0434\u0438\u0438.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/catalog.data.gov\/dataset\/food-environment-atlas-f4a22\">Food environment Atlas Data Portal<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0439 \u043e \u043f\u0438\u0442\u0430\u043d\u0438\u0438 \u0432 \u0421\u0428\u0410.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/healthdata.gov\/\">Health Data Portal<\/a><\/noindex> \u2014 \u044d\u0442\u043e \u043f\u043e\u0440\u0442\u0430\u043b \u041c\u0438\u043d\u0438\u0441\u0442\u0435\u0440\u0441\u0442\u0432\u0430 \u0437\u0434\u0440\u0430\u0432\u043e\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0438 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u043b\u0443\u0436\u0431 \u0421\u0428\u0410.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cdc.gov\/datastatistics\/\">Centers for Disease Control and Prevention Data Portal<\/a><\/noindex> \u2014 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0448\u0438\u0440\u043e\u043a\u0438\u0439 \u0441\u043f\u0435\u043a\u0442\u0440 \u0434\u0430\u043d\u043d\u044b\u0445, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0445 \u0441\u043e \u0437\u0434\u043e\u0440\u043e\u0432\u044c\u0435\u043c.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.london.gov.uk\/\">London Datastore Portal<\/a><\/noindex> \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043e \u0436\u0438\u0437\u043d\u0438 \u043b\u044e\u0434\u0435\u0439 \u0432 \u041b\u043e\u043d\u0434\u043e\u043d\u0435.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/open.canada.ca\/en\/open-data\">Canada Government Open Data Portal<\/a><\/noindex> \u2014 \u043f\u043e\u0440\u0442\u0430\u043b \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e \u043a\u0430\u043d\u0430\u0434\u0446\u0430\u0445 (\u0441\u0435\u043b\u044c\u0441\u043a\u043e\u0435 \u0445\u043e\u0437\u044f\u0439\u0441\u0442\u0432\u043e, \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u043e, \u043c\u0443\u0437\u044b\u043a\u0430, \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435, \u043f\u0440\u0430\u0432\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u043e, \u0437\u0434\u0440\u0430\u0432\u043e\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435 \u0438 \u0442.\u0434.)<\/li>\n<\/ol>\n<h3>Lexoni m\u00eb shum\u00eb<\/h3>\n<p><\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/edison\/blog\/480378\/\">14 projekte me burim t\u00eb hapur p\u00ebr t\u00eb p\u00ebrmir\u00ebsuar aft\u00ebsit\u00eb n\u00eb Data Science (leht\u00eb, normal, e v\u00ebshtir\u00eb)<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/edison\/blog\/479100\/\">Front-end dojo: projekte p\u00ebr st\u00ebrvitjen e aft\u00ebsive t\u00eb zhvilluesve (5 t\u00eb reja + 43 t\u00eb vjetra)<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/edison\/blog\/479650\/\">Top-12 grafik\u00ebve dinamik\u00eb IT m\u00eb interesant\u00eb<\/a><\/noindex><\/li>\n<\/ul>\n<p>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/edison\/blog\/480408\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>Mall Customers Dataset \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u0435\u043b\u0435\u0439 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430: id, \u043f\u043e\u043b, \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u0434\u043e\u0445\u043e\u0434, \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0442\u0440\u0430\u0442. (\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f: Customer Segmentation Project with Machine Learning) Iris Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440\u044b \u0447\u0430\u0448\u0435\u043b\u0438\u0441\u0442\u0438\u043a\u043e\u0432 \u0438 \u043b\u0435\u043f\u0435\u0441\u0442\u043a\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0446\u0432\u0435\u0442\u043a\u043e\u0432. MNIST Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0440\u0443\u043a\u043e\u043f\u0438\u0441\u043d\u044b\u0445 \u0446\u0438\u0444\u0440. 60 000 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0438 10 000 \u0442\u0435\u0441\u0442\u043e\u0432\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. The Boston Housing Dataset \u2014 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":54097,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-54096","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"Mall Customers Dataset \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u0435\u043b\u0435\u0439 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430: id, \u043f\u043e\u043b, \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u0434\u043e\u0445\u043e\u0434, \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0442\u0440\u0430\u0442. (\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f: Customer Segmentation Project with Machine Learning) Iris Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440\u044b \u0447\u0430\u0448\u0435\u043b\u0438\u0441\u0442\u0438\u043a\u043e\u0432 \u0438 \u043b\u0435\u043f\u0435\u0441\u0442\u043a\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0446\u0432\u0435\u0442\u043a\u043e\u0432. MNIST Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0440\u0443\u043a\u043e\u043f\u0438\u0441\u043d\u044b\u0445 \u0446\u0438\u0444\u0440. 60 000 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0438 10 000 \u0442\u0435\u0441\u0442\u043e\u0432\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. The Boston Housing Dataset \u2014\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/52-dataseta-dlya-trenirovochnyh-proektov\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta property=\"og:locale\" content=\"sq_AL\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd4752 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430 \u0434\u043b\u044f \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"Mall Customers Dataset \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u0435\u043b\u0435\u0439 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430: id, \u043f\u043e\u043b, \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u0434\u043e\u0445\u043e\u0434, \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0442\u0440\u0430\u0442. (\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f: Customer Segmentation Project with Machine Learning) Iris Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440\u044b \u0447\u0430\u0448\u0435\u043b\u0438\u0441\u0442\u0438\u043a\u043e\u0432 \u0438 \u043b\u0435\u043f\u0435\u0441\u0442\u043a\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0446\u0432\u0435\u0442\u043a\u043e\u0432. MNIST Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0440\u0443\u043a\u043e\u043f\u0438\u0441\u043d\u044b\u0445 \u0446\u0438\u0444\u0440. 60 000 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0438 10 000 \u0442\u0435\u0441\u0442\u043e\u0432\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. The Boston Housing Dataset \u2014\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/52-dataseta-dlya-trenirovochnyh-proektov\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2019-12-17T21:00:00+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2020-02-18T11:02:04+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd4752 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430 \u0434\u043b\u044f \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 | ProHoster","description":"Mall Customers Dataset \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u0435\u043b\u0435\u0439 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430: id, \u043f\u043e\u043b, \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u0434\u043e\u0445\u043e\u0434, \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0442\u0440\u0430\u0442. (\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f: Customer Segmentation Project with Machine Learning) Iris Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440\u044b \u0447\u0430\u0448\u0435\u043b\u0438\u0441\u0442\u0438\u043a\u043e\u0432 \u0438 \u043b\u0435\u043f\u0435\u0441\u0442\u043a\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0446\u0432\u0435\u0442\u043a\u043e\u0432. MNIST Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0440\u0443\u043a\u043e\u043f\u0438\u0441\u043d\u044b\u0445 \u0446\u0438\u0444\u0440. 60 000 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0438 10 000 \u0442\u0435\u0441\u0442\u043e\u0432\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. The Boston Housing Dataset \u2014","canonical_url":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/52-dataseta-dlya-trenirovochnyh-proektov","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sq_AL","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd4752 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430 \u0434\u043b\u044f \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 | ProHoster","og:description":"Mall Customers Dataset \u2014 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u0435\u043b\u0435\u0439 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430: id, \u043f\u043e\u043b, \u0432\u043e\u0437\u0440\u0430\u0441\u0442, \u0434\u043e\u0445\u043e\u0434, \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0442\u0440\u0430\u0442. (\u0412\u0430\u0440\u0438\u0430\u043d\u0442 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f: Customer Segmentation Project with Machine Learning) Iris Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440\u044b \u0447\u0430\u0448\u0435\u043b\u0438\u0441\u0442\u0438\u043a\u043e\u0432 \u0438 \u043b\u0435\u043f\u0435\u0441\u0442\u043a\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0446\u0432\u0435\u0442\u043a\u043e\u0432. MNIST Dataset \u2014 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 \u0440\u0443\u043a\u043e\u043f\u0438\u0441\u043d\u044b\u0445 \u0446\u0438\u0444\u0440. 60 000 \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0438 10 000 \u0442\u0435\u0441\u0442\u043e\u0432\u044b\u0445 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. The Boston Housing Dataset \u2014","og:url":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/52-dataseta-dlya-trenirovochnyh-proektov","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2019-12-17T21:00:00+00:00","article:modified_time":"2020-02-18T11:02:04+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"54096","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":"2026-01-24 10:01:19","breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-02-28 20:12:23","updated":"2026-01-24 10:01:19"},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/posts\/54096","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/comments?post=54096"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/posts\/54096\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/media\/54097"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/media?parent=54096"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/categories?post=54096"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/sq\/wp-json\/wp\/v2\/tags?post=54096"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}