Description The project aims to predict future stock prices by analyzing historical values. The dataset contains more than 2700 Ticker symbols with some CSV files dating back to 1970. However, to ensure accurate models, the team selected only 410 tickers that make up the S&P 500. To ensure better accuracy, the project uses multiple models,…
Description Text mining, also known as text analytics, is the process of analyzing and extracting valuable insights from unstructured text data. The objective of the study mentioned is to extract sentiment from Amazon reviews using data mining techniques. The study was conducted under the guidance of Dr. Bei Yu and utilized a combination of modeling…
Description For the final project for this class, I chose to work with a heart disease set from UC Irvine. This is a multivariate type of dataset which means providing or involving a variety of separate mathematical or statistical variables, multivariate numerical data analysis. The given dataset is a multivariate type, which means that it…
Introduction The Applied Data Science program at Syracuse University’s School of Information Studies allows students to collect, manage, analyze, and develop insights using data from various domains using various tools and techniques. In courses such as Introduction to Data Science ( “IST 687”, 2021), Text Mining (“IST 736”, 2022), and Big Data Analytics (“IST 718”,…