{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"NetworkSimulation","owner":"MSc-AI","isFork":false,"description":"Endüstriyel Mobil Kablosuz Ağların Optimum Kapsama Alanı için Anahtar Düğümlerin Verimli Dağıtımı","allTopics":["network-programming"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-15T13:02:23.538Z"}},{"type":"Public","name":"IMDBSentimentAnalysis","owner":"MSc-AI","isFork":false,"description":"Sentiment Analysis","allTopics":["sentiment-analysis","classification"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-07T20:00:41.739Z"}},{"type":"Public","name":"AIProjectDocumentation","owner":"MSc-AI","isFork":false,"description":"Hasta Kalış Süresi Makale","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-19T11:07:08.724Z"}},{"type":"Public","name":"BreastCanserPredict","owner":"MSc-AI","isFork":false,"description":"","allTopics":["python","data-science","deep-learning"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-29T06:59:39.380Z"}},{"type":"Public","name":"aiproject","owner":"MSc-AI","isFork":false,"description":"You are requested to accurately estimate the Case-by-Case Length of Stay for each patient so that hospitals can use them for optimal resource allocation and better functioning.","allTopics":["python","data-science","machine-learning","numpy","sklearn","pandas"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-24T19:13:44.185Z"}},{"type":"Public","name":"SpamEmail","owner":"MSc-AI","isFork":false,"description":" This dataset is collected from here. I just used enron1 folder. It contains two folders of spam and ham. Each folder contains emails. I iterated to each text file of those folders and created a dataframe and written to a csv file. This can be helpful for others.","allTopics":["python","data-science","spam-emails"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-24T18:52:31.048Z"}},{"type":"Public","name":"LeafClassification","owner":"MSc-AI","isFork":false,"description":"There are estimated to be nearly half a million species of plant in the world. Classification of species has been historically problematic and often results in duplicate identifications. The objective of this playground competition is to use binary leaf images and extracted features, including shape, margin & texture, to accurately identify 99 s…","allTopics":["python","data-science","machine-learning","leaf-clasification"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-24T18:52:18.206Z"}}],"repositoryCount":7,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"MSc-AI repositories"}