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Predicting the Duration of User Stories, Machine learning for agile planning
(2020)
Effective effort estimation in project planning is vital, because it helps organizations to build product plans which they can stick to, have shorter turn-around time and better cost discipline. In this thesis, a series ...
Machine learning for assessing chloride resistance of concrete
(2022)
Predicting the chloride resistance property of concrete accurately is critical in structural engineering. This thesis project adopts a state-of-the-art machine learning algorithm, XGBoost, to predict the chloride migration ...
Dataset Imbalance treatment with re-samplers pipeline
(2022)
Imbalance in dataset is an age long thing and it is receiving lots of attention because of how it impacts the outcome of models. Imbalance in the sample simply means a class of sample is over-represented while the other ...
Enhancing Customer feedback processing with Machine Learning in Microsoft Azure
(2022)
Text Classification and Natural Language Processing (NLP) is developing fast, and all the applications are rapidly evolving, GPT-3 emerged in the field just last year and there are some open-source options in the field, ...
Usage pattern and mental health analysis on Finnish speaking Twitter users
(2022)
Social media has been seen under negative light as it is correlated to mental health problems. However, it was also acknowledge as an alternative way to collect data and conduct studies and services on mental health. This ...
Analysing Patterns In Depression-Related Web Searches Via Google Trends A case study in Finland during the 2015-2021 period
(2022)
Considering high level of internet usage in Finland and popularity of Google Search Engine, in this research, we scrape Google Trend time series data for six years from 2015 to 2021 for depression-related-terms in Finland ...
Data Science Techniques Used in Process Mining for Removing Noise
(2023)
Process mining supports organisations to understand and improve existing processes by extracting event log data from IT systems and visualising it. This study explores the main challenges associated with event log data ...