This paper analyzes investment opportunities by evaluating the Sharpe coefficients of each of the stocks of the chosen corporations against the S&P 500. Its main aim is to provide useful …
Abstracts Category: Machine and Deep Learning
This paper categorizes the U. S. states by frequency of fatal car accidents and distance traveled annually in order to analyze car accidents. The purpose is to improve the road …
The current research resolves to compare films in a context that involves the identification of similarities in the plots, which is accomplished through the use of clustering methods that help …
There is a main goal of this research, which is the application of machine learning tools and methods with the aim of correctly predicting the likelihood of credit cards’ applications …
Our methodology involves: Data Loading: Importing the excel file encompassing baby names, gender favoritism and the trends in the recent years. Gender Classification: Stemming names into gender categories; male, female …
This research explores the application of CNNs for image categorisation to differentiate honey bees from bumble bees. The goal is to apply deep learning methods, and establish an accurate model …
The purpose of this research is to identify the impact of the change of the game level design in a mobile game on players’ retention by applying the AB test. …
The purpose of this research is to use machine learning methods in the context of blood donor prognosis on his/her multiple donations. By using primary data from a mobile blood …
The goal of this project is to improve the effectiveness of an online furniture retailer’s digital marketing through the development of a successful seeded keyword list and attention-catching ad visuals. …
This study classifies cryptocurrencies according to their market capital so as to determine the extent and describe what various parts of the market holds. In general, it will be important …