The dataset was sourced from:https://www.kaggle.com/c/home-credit-default-risk The dataset was transformed and converted into one single dataset, the variables were binned.

Data Preprocessing Data Exploration The data was sourced from https://archive.ics.uci.edu/ml/datasets/student+performance The three algorithms used in this data were Naive Base, Random Forest and Decision Tree.

The data was sourced from https://archive.ics.uci.edu/ml/datasets/student+performance The three algorithms used in this data were Naive Base, Random Forest and Decision Tree.

Data: Txhousing

The data was sourced from:https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/data The data has been preprocessed and transformed.

The data is sourced from:https://www.kaggle.com/ecodan/us-school-shootings-dataset/data

The data is sourced from:https://www.kaggle.com/ecodan/us-school-shootings-dataset/data

World Health Organisation Data

The data was sourced from https://coinmarketcap.com/ The following dataset is daily closing price of bitcoin from the 27th April 2013 the 3rd March 2018. We have applied ARMA and GARCH models after differencing.

The dataset is sourced from https://data.world/worldbank/gdp-ranking and it is about the the GDP worth in US Dollars of countries based on the rankings The dataset will be used to create a visualisation that will check what countries have higher GDP in US Dollars as compared to countries with a lower GDP.

*The data was taken from the following website http://abs.gov.au/ausstats/abs%40.nsf/mediareleasesbyCatalogue/0DB52D24450CC7ACCA257A7500148E4C?OpenDocument *The data was pre-summarised and was taken in comparision of the census of population which showed the changes in the population of homeless in Australia.

Australian Road Deaths https://data.gov.au/dataset/australian-road-deaths-database/resource/fd646fdc-7788-4bea-a736-e4aeb0dd09a8?view_id=8443fbb0-09b2-4aca-829b-a11f575d4ac3