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Aida Sehic's Projects

cryptocurrency_api_data_collection_and_preparation icon cryptocurrency_api_data_collection_and_preparation

Collecting data by using CryptoCompare API and Guardian API. Retrieving historical cryptocurrency data; in particular: open, high, low, close, volumefrom and volumeto daily historical data for Bitcoin and Etherium. Retrieving Specifically, all pieces of content on Bitcoin published in last year (since 2017-04-01)

glassdoor_api icon glassdoor_api

Retrieving Glassdoor data regarding salaries, interview difficulty and company ratings.

heterogeneous_stacked_ensemble_classifier-super_learner icon heterogeneous_stacked_ensemble_classifier-super_learner

The Super Learner is a heterogeneous stacked ensemble classifier. This is a classification model that uses a set of base classifiers of different types, the outputs of which are then combined in another classifier at the stacked layer. The base classifiers are trained and their outputs are combined along with the training dataset labels into a training set for the stack layer classifier. To avoid overfitting the generation of the stacked layer training set uses a k-fold cross validation process. To further add variety to the base estimators a bootstrapping selection is used (as in the bagging ensemble approach).

news_api icon news_api

Retrieving News articles from over 30.000 sources related to at least one of 150 tech topics / skills.

web_scraping_and_classification icon web_scraping_and_classification

Web scraping a corpus of news articles from a set of web pages. Pre-processing the corpus. Evaluating the performance of automated classification of these articles in a supervised learning context.

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