{"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\/news\/52-dataseta-dlya-trenirovochnyh-proektov","title":{"rendered":"52 dataset p\u00ebr projekte trajnuese","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<ol>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/shwetabh123\/mall-customers\">Dataset i klient\u00ebve t\u00eb qendr\u00ebs tregtare<\/a><\/noindex> \u2014 t\u00eb dh\u00ebna p\u00ebr vizitor\u00ebt e dyqanit: id, gjinia, mosha, t\u00eb ardhurat, vler\u00ebsimi i shpenzimeve. (<i>Shembull p\u00ebrdorimi: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/r-data-science-project-customer-segmentation\/\">Projekt i segmentimit t\u00eb klient\u00ebve me Machine Learning<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/Iris\">Dataset Iris<\/a><\/noindex> \u2014 dataset p\u00ebr fillestar\u00eb, q\u00eb p\u00ebrmban p\u00ebrmasat e sepaleve dhe petaleve p\u00ebr lloje t\u00eb ndryshme lulesh.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/yann.lecun.com\/exdb\/mnist\/\">Dataset MNIST<\/a><\/noindex> \u2014 dataset i shifrave t\u00eb shkruara me dor\u00eb. 60 000 imazhe trajnimi dhe 10 000 imazhe testimi.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cs.toronto.edu\/~delve\/data\/boston\/bostonDetail.html\">Dataset Boston Housing<\/a><\/noindex> \u2014 dataset i njohur p\u00ebr zbulimin e modeleve. P\u00ebrmban informacion p\u00ebr sht\u00ebpit\u00eb n\u00eb Boston: numri i apartamenteve, kostoja e qiras\u00eb, indeksi i kriminalitetit.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/c\/fake-news\/data\">Dataset p\u00ebr zbulimin e lajmeve t\u00eb rreme<\/a><\/noindex> \u2014 p\u00ebrmban 7796 regjistrime me etiketim t\u00eb lajmeve: t\u00eb v\u00ebrteta ose t\u00eb rreme. (<i>Shembull p\u00ebrdorimi me kod burimor n\u00eb Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/advanced-python-project-detecting-fake-news\/\">Projekt Python p\u00ebr zbulimin e lajmeve t\u00eb rreme <\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/wine+quality\">Dataset i cil\u00ebsis\u00eb s\u00eb ver\u00ebs<\/a><\/noindex> \u2014 p\u00ebrmban informacion p\u00ebr ver\u00ebn: 4898 regjistrime me 14 parametra.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/wiki.stat.ucla.edu\/socr\/index.php\/SOCR_Data_Dinov_020108_HeightsWeights\">T\u00eb dh\u00ebnat SOCR \u2013 Dataset i gjat\u00ebsis\u00eb dhe pesh\u00ebs<\/a><\/noindex> \u2014 nj\u00eb zgjedhje e mir\u00eb p\u00ebr t\u00eb filluar. P\u00ebrmban 25 000 regjistrime mbi gjat\u00ebsin\u00eb dhe pesh\u00ebn e personave 18-vje\u00e7ar\u00eb.<br \/>\n<blockquote><p><noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/\" title=\"EDISON Software - zhvillim webi\"><img decoding=\"async\" alt=\"52 dataset p\u00ebr projekte trajnuese\" 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\">i p\u00ebrmbush n\u00eb m\u00ebnyr\u00eb t\u00eb shk\u00eblqyer porosit\u00eb nga Kina Jugore<\/a><\/noindex>, si dhe <noindex><a rel=\"nofollow\" href=\"https:\/\/www.edsd.ru\/ru\/proekty\/sozdaniye_saytov\">zhvillon aplikacione web dhe faqe interneti<\/a><\/noindex>.<\/p><\/blockquote>\n<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/parkinsons\">Dataset Parkinson<\/a><\/noindex> \u2014 195 regjistrime p\u00ebr pacient\u00eb me s\u00ebmundjen e Parkinsonit, me 25 parametra analizash. Mund t\u00eb p\u00ebrdoret p\u00ebr vler\u00ebsim paraprak t\u00eb dallimit mes personave t\u00eb s\u00ebmur\u00eb dhe t\u00eb sh\u00ebndetsh\u00ebm. (<i>Shembull p\u00ebrdorimi me kod burimor n\u00eb Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-machine-learning-project-detecting-parkinson-disease\/\">Projekt Machine Learning p\u00ebr zbulimin e s\u00ebmundjes s\u00eb Parkinsonit<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/web.stanford.edu\/class\/archive\/cs\/cs109\/cs109.1166\/problem12.html\">Dataset Titanic<\/a><\/noindex> \u2014 p\u00ebrmban informacion p\u00ebr pasagjer\u00ebt (mosha, gjinia, t\u00eb af\u00ebrmit n\u00eb bord etj.) 891 n\u00eb setin e trajnimit dhe 418 \u2014 n\u00eb at\u00eb t\u00eb testimit.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/fivethirtyeight\/uber-pickups-in-new-york-city\">Dataset Uber Pickups<\/a><\/noindex> \u2014 informacion p\u00ebr 4.5 milion\u00eb udh\u00ebtime me Uber n\u00eb vitin 2014 dhe 14 milion\u00eb n\u00eb vitin 2015. (<i>Shembull p\u00ebrdorimi me kod burimor n\u00eb R: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/r-data-science-project-uber-data-analysis\/\">Projekt i analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave Uber n\u00eb R<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/www.ee.surrey.ac.uk\/CVSSP\/demos\/chars74k\/\">Dataset Chars74k<\/a><\/noindex> \u2014 p\u00ebrmban imazhe t\u00eb simboleve britanike dhe kanadeze t\u00eb 64 klasave: 0-9, A-Z, a-z. 7700 imazhe natyrore, 3400k t\u00eb shkruara me dor\u00eb, 62000 fonte t\u00eb sintetizuara nga kompjuteri.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/mlg-ulb\/creditcardfraud\">Dataset p\u00ebr zbulimin e mashtrimit me karta krediti<\/a><\/noindex> \u2014 p\u00ebrmban informacion p\u00ebr transaksione me karta krediti t\u00eb komprometuara. (<i>Shembull p\u00ebrdorimi me kod burimor: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/data-science-machine-learning-project-credit-card-fraud-detection\/\">Projekt Machine Learning p\u00ebr zbulimin e mashtrimit me karta krediti<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/katanaml\/katana-assistant\/blob\/master\/mlbackend\/intents.json\">Dataset i synimeve t\u00eb chatbot-it<\/a><\/noindex> \u2014 skedar JSON q\u00eb p\u00ebrmban etiketa t\u00eb ndryshme: greetings, goodbye, hospital_search, pharmacy_search, etj. P\u00ebrmban nj\u00eb grup shabllonesh \u00abpyetje-p\u00ebrgjigje\u00bb. (<i>Shembull p\u00ebrdorimi me kod burimor n\u00eb Python: <noindex><a rel=\"nofollow\" href=\"https:\/\/data-flair.training\/blogs\/python-chatbot-project\/\">Projekt chatbot n\u00eb Python<\/a><\/noindex><\/i>)<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cs.cmu.edu\/~enron\/\">Dataset i email-eve Enron<\/a><\/noindex> \u2014 p\u00ebrmban gjysm\u00eb milioni email-e nga 150 menaxher\u00eb t\u00eb Enron.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.yelp.com\/dataset\">Dataset Yelp<\/a><\/noindex> \u2014 p\u00ebrmban 1,2 mln. rekomandime nga 1,6 mln. p\u00ebrdorues p\u00ebr 1,2 mln. organizata.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1uyd0t\/200000_jeopardy_questions_in_a_json_file\/\">Dataset Jeopardy<\/a><\/noindex> \u2014 mbi 200 000 regjistrime \u00abpyetje-p\u00ebrgjigje\u00bb nga loja e njohur televizive.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/cseweb.ucsd.edu\/~jmcauley\/datasets.html\">Dataset p\u00ebr sistemet e rekomandimit<\/a><\/noindex> \u2014 portal me nj\u00eb koleksion datasetesh nga universiteti UCSD. P\u00ebrmban t\u00eb dh\u00ebna p\u00ebr vler\u00ebsime n\u00eb faqe t\u00eb njohura (Goodreads, Amazon). \u00cbsht\u00eb i p\u00ebrshtatsh\u00ebm p\u00ebr krijimin e sistemeve t\u00eb rekomandimit. (<i>Shembull p\u00ebrdorimi me kod burimor n\u00eb 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 dataset p\u00ebr trajnim p\u00ebr zbulimin e spam-it. P\u00ebrmban 4601 email-e me 57 parametra metadatash.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/hsankesara\/flickr-image-dataset\">Flickr 30k Dataset<\/a><\/noindex> \u2014 m\u00eb shum\u00eb se 30 000 imazhe dhe p\u00ebrshkrimet e tyre. <i>(<noindex><a rel=\"nofollow\" href=\"https:\/\/forms.illinois.edu\/sec\/1713398\">Flickr 8k Dataset<\/a><\/noindex> \u2014 8000 imazhe. Projekt me kod burimor n\u00eb 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 vler\u00ebsime filmash n\u00eb grupin e trajnimit dhe 25 000 n\u00eb at\u00eb t\u00eb testimit. (<i>Shembull p\u00ebrdorimi me kod burimor n\u00eb 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 milion\u00eb imazhe t\u00eb anotuara.<\/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 p\u00ebrmban 60 000 imazhe t\u00eb vogla 32*32 pixels me shifra 0-9. CIFAR-100 \u2014 p\u00ebrkat\u00ebsisht, 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 imazhe t\u00eb 43 shenjave rrugore. (<i>Shembull p\u00ebrdorimi me kod burimor n\u00eb 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 p\u00ebrmban m\u00eb shum\u00eb se 100 000 fraza dhe rreth 1000 imazhe p\u00ebr secil\u00ebn fraz\u00eb.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.kaggle.com\/paultimothymooney\/breast-histopathology-images\">Breast Histopathology Images Dataset<\/a><\/noindex> \u2014 dataseti p\u00ebrmban imazhe t\u00eb mostrave t\u00eb kancerit t\u00eb gjirit. (<i>Variant p\u00ebrdorimi me kod burimor n\u00eb <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 p\u00ebrmban anotime me cil\u00ebsi t\u00eb lart\u00eb t\u00eb sekuencave video t\u00eb rrug\u00ebve nga qytete t\u00eb ndryshme.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/deepmind.com\/research\/open-source\/kinetics\">Kinetics Dataset<\/a><\/noindex> \u2014 p\u00ebrmban URL-linke p\u00ebr rreth 6,5 milion\u00eb video me cil\u00ebsi t\u00eb lart\u00eb.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/human-pose.mpi-inf.mpg.de\/#\">MPII human pose dataset<\/a><\/noindex> \u2014 dataseti p\u00ebrmban 25 000 imazhe t\u00eb pozave njer\u00ebzore me anotime t\u00eb nyjeve.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/20bn.com\/datasets\/something-something\/v2\">20BN-something-something dataset v2<\/a><\/noindex> \u2014 koleksion videosh me cil\u00ebsi t\u00eb lart\u00eb q\u00eb tregojn\u00eb se si nj\u00eb person kryen veprime t\u00eb ndryshme.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.objects365.org\/overview.html\">Object 365 Dataset<\/a><\/noindex> \u2014 dataset me imazhe me cil\u00ebsi t\u00eb lart\u00eb me korniza kufizuese t\u00eb objekteve.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/www.cs.cmu.edu\/~mengtial\/proj\/sketch\/\">Photo sketching dataset<\/a><\/noindex> \u2014 p\u00ebrmban m\u00eb shum\u00eb se 1000 imazhe me skicat e tyre konturore.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/headctstudy.qure.ai\/#dataset\">CQ500 Dataset<\/a><\/noindex> \u2014 dataseti p\u00ebrmban 491 skanime CT t\u00eb kok\u00ebs me 193 317 prerje.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.vision.ee.ethz.ch\/cvl\/rrothe\/imdb-wiki\/\">IMDB-Wiki dataset<\/a><\/noindex> \u2014 dataset me m\u00eb shum\u00eb se 5 mln. imazhe fytyrash t\u00eb etiketuara sipas gjinis\u00eb dhe mosh\u00ebs. (<i>Variant p\u00ebrdorimi me kod burimor n\u00eb <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 dataset video i etiketuar, i cili p\u00ebrmban 6,1 milion\u00eb identifikues videosh n\u00eb Youtube<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/urbansounddataset.weebly.com\/urbansound8k.html\">Urban Sound 8K dataset<\/a><\/noindex> \u2014 koleksion i t\u00eb dh\u00ebnave t\u00eb tingujve urban\u00eb (p\u00ebrmban 8732 tinguj urban\u00eb nga 10 klasa).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.yf.io\/p\/lsun\">LSUN Dataset<\/a><\/noindex> \u2014 dataset me miliona imazhe me ngjyra t\u00eb skenave dhe objekteve (rreth 59 milion\u00eb imazhe, 10 kategori t\u00eb ndryshme skenash dhe 20 kategori t\u00eb ndryshme objektesh).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/zenodo.org\/record\/1188976#.Xc-P7VczbIU\">RAVDESS Dataset<\/a><\/noindex> \u2014 baz\u00eb t\u00eb dh\u00ebnash audiovizuale e t\u00eb folurit emocional. (<i>Variant p\u00ebrdorimi me kod burimor n\u00eb <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 dataseti p\u00ebrmban 1000 or\u00eb t\u00eb folur n\u00eb anglisht me thekse t\u00eb ndryshme.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"http:\/\/apolloscape.auto\/\">Baidu Apolloscape Dataset<\/a><\/noindex> \u2014 dataset p\u00ebr zhvillimin e teknologjive t\u00eb drejtimit autonom. <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.quandl.com\/\">Quandl Data Portal<\/a><\/noindex> \u2014 depo e t\u00eb dh\u00ebnave ekonomike dhe financiare (ka p\u00ebrmbajtje falas dhe me pages\u00eb).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.worldbank.org\/\">The World Bank Open Data Portal<\/a><\/noindex> \u2014 informacion mbi kredit\u00eb e dh\u00ebna nga Banka Bot\u00ebrore p\u00ebr vendet n\u00eb zhvillim.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.imf.org\/en\/Data\">IMF Data Portal<\/a><\/noindex> \u2014 portali i Fondit Monetar Nd\u00ebrkomb\u00ebtar, q\u00eb publikon t\u00eb dh\u00ebna p\u00ebr financat nd\u00ebrkomb\u00ebtare, normat e borxhit, investimet, rezervat valutore dhe mallrat.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.aeaweb.org\/resources\/data\">American Economic Association (AEA) Data Portal<\/a><\/noindex> \u2014 burim p\u00ebr k\u00ebrkimin e t\u00eb dh\u00ebnave makroekonomike t\u00eb SHBA-s\u00eb.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/trends.google.com\/trends\/\">Google Trends Data Portal<\/a><\/noindex> \u2014 t\u00eb dh\u00ebnat e Google Trends mund t\u00eb p\u00ebrdoren p\u00ebr studim vizual dhe analiz\u00eb t\u00eb t\u00eb dh\u00ebnave.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/markets.ft.com\/data\/\">Financial Times Market Data Portal<\/a><\/noindex> \u2014 burim p\u00ebr marrjen e informacionit aktual mbi tregjet financiare nga e gjith\u00eb bota.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.data.gov\/\">Data.gov Portal<\/a><\/noindex> \u2014 portali i t\u00eb dh\u00ebnave t\u00eb hapura i qeveris\u00eb s\u00eb SHBA-s\u00eb (bujq\u00ebsi, sh\u00ebndet\u00ebsi, klim\u00eb, arsim, energji, financa, shkenc\u00eb dhe k\u00ebrkim etj.).<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.gov.in\/\">Data Portal: Open government data (India)<\/a><\/noindex> \u2014 platforma e hapur qeveritare e t\u00eb dh\u00ebnave t\u00eb Indis\u00eb.<\/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 p\u00ebrmban t\u00eb dh\u00ebna k\u00ebrkimore mbi ushqyerjen n\u00eb SHBA.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/healthdata.gov\/\">Health Data Portal<\/a><\/noindex> \u2014 ky \u00ebsht\u00eb portali i Departamentit t\u00eb Sh\u00ebndet\u00ebsis\u00eb dhe Sh\u00ebrbimeve Njer\u00ebzore t\u00eb SHBA-s\u00eb.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.cdc.gov\/datastatistics\/\">Centers for Disease Control and Prevention Data Portal<\/a><\/noindex> \u2014 p\u00ebrmban nj\u00eb gam\u00eb t\u00eb gjer\u00eb t\u00eb dh\u00ebnash q\u00eb lidhen me sh\u00ebndetin.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/data.london.gov.uk\/\">London Datastore Portal<\/a><\/noindex> \u2014 t\u00eb dh\u00ebna p\u00ebr jet\u00ebn e njer\u00ebzve n\u00eb Lond\u00ebr.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/open.canada.ca\/en\/open-data\">Canada Government Open Data Portal<\/a><\/noindex> \u2014 portali i t\u00eb dh\u00ebnave t\u00eb hapura p\u00ebr kanadez\u00ebt (bujq\u00ebsi, art, muzik\u00eb, arsim, qeveri, sh\u00ebndet\u00ebsi etj.)<\/li>\n<\/ol>\n<h3>Lexo 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 open-source p\u00ebr t\u00eb avancuar aft\u00ebsit\u00eb n\u00eb Data Science (leht\u00eb, mesatar, 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 t\u00eb praktikuar aft\u00ebsit\u00eb e zhvilluesit (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 infografikat dinamike m\u00eb interesante t\u00eb IT<\/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-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - 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.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta 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