Comparisons and Similarities of Python and WEKA when analyzing a 1980-2018 sea ice database using Linear Regression

Daudi Mwangi

Mentor: Dr. Jianwu Wang

Department of Information Systems, University of Maryland, Baltimore County

Have you ever thought about being able to predict the future? Well using Linear Regression that is not so far off. Linear Regression is a way to model the relationship between one or more variables.​ I will be comparing two ways of doing the Linear Regression approach: through Python, and then through a visual interface called WEKA (Waikato Environment for Knowledge Analysis). Additionally, I hope to shed light on why Linear Regression is important and why it is used within the field of data analytics. The goal of my research is to inform the reader about how these two different programs operate and possibly which techniques are best suited for the individual when tackling Linear Regression problems. The methods that I plan to use in order to answer my research question is to analyze a database comprised of data about sea ice predictions within the time span of 1980-2018 using coding within a Python compiler and software called WEKA, and to compare these two programs in order to see where they shine and where some fall short.