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Ulysses Lince's Projects

audit4data icon audit4data

Datasets tend to be patchy, therefore, we want to provide a policy-driven data-audit mechanism capable of identifying standard issues (e.g. outliers, missing datapoints), fixing the identified issues (based on a pre-defined policy) and reporting the state of data to users

etl4data icon etl4data

Building ETLs is quite repetitive and data source specific, therefore, we want to provide an off-the-shelf set of ETLs for as many of the data sources listed in Landscape4Data as possible. This will give the user an ability to automate data harvesting and existing data updates

irdm17 icon irdm17

Information Retrieval and Data Mining Project: Implementation of learning to rank algorithms using Python and TensorFlow.

landscape4data icon landscape4data

Finding useful datasets on-line can be tricky, therefore, we want to have a common place with a list of open-access as well as licensed datasets divided by categories

meta4data icon meta4data

While working with data it often happens that one requires general information about the dataset (e.g. size, distribution of datapoints, source, licence information, list of key features etc). The goal of this project is to enrich raw meta-data with all such extra information

scheme4data icon scheme4data

To perform data audit or generate meta-data on the datasets imported with ETL4Data we want to create a standard data scheme capable of supporting all data types listed in Landscape4Data

twitter_analytics icon twitter_analytics

Python program that performs natural language processing and text mining on Twitter data.

we17 icon we17

Web Economics 2017 - Individual Project: Implementation of machine learning techniques for online advertising ad exchange based on user data. Implemented using Python and TensorFlow's Wide And Deep deep learning API.

web_scraper icon web_scraper

Python web scraper for stock market data using Selenium.

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