The key idea of this project is to analyse the Irish (Gaelic) as an endangered language, or as it is also said, a dying language. Some argue that it has died due to the globalization and English has become an official language in several nations which had the standard to be called as Lingua Francia.
Thus, in order to analyse the current situation of the Irish language, to determine the frequency of people speaking Irish language by age, gender, city, province, and to predict the future of the Irish language in the upcoming years, this analysis was conducted with basis on a dataset of Irish speakers publicly available.
To further comprehend the dataset, various data mining approaches were performed. For some parameters, the null/alternative hypothesis was tested. Following the study, it should be simpler to develop new laws and regulations to keep the Irish language alive. The dataset is gathered from public and licensed source available at Kaggle.com: https://www.kaggle.com/datasets/kennethgranahan/statisitics-of-irish-speakers
R, Regression, Chi-Square, Decision Tree test, K-nearest neighbourhood, Correlation, Data Mining Techniques, Data Analysis Techniques, Data Visualisations Techniques
Bilingual professional (Portuguese and English) with over 10 years of experience in Customer Support, Technical Support and Technical Sales. Holding a Higher Certificate in Industrial Automation, and a L8 Higher Diploma in Artificial Intelligence.
Expecting 1:1 Degree in BSc(Hons) Computing with a strong understanding of Java, XML, JavaScript, Jquery, HTML, CSS, JSON, SQL, API, SOAP, REST and PHP. Currently working as Technical Support Engineer L2 at Adobe Inc.