My experience at UC Clermont College will allow me to work more professionally and effectively in my future job. Over several weeks, the opportunity to merge data with communication took a variety of forms. Silky Abbott, Simulation of the Convergys Contact Center in Erlanger, KY, July 24, 2012 (David Kelton, Jaime Newell) The model has high in-sample and out-of-sample prediction accuracy, with all AUCs higher than 0.85. Justin Jodrey, Predictive Models for United States County Poverty Rates and Presidential Candidate Winners, April 2018, (Yan Yu, Bradley Boehmke) and this is how each of these businesses maintains their edge in the highly competitive online business world. Many people consider their income information private and would be hesitant to share the information. By prioritizing customers based on their respective purchase score, they can reduce the expense of marketing and get higher conversion rate and therefore better ROI. Wenwen Yang, Omni-channel Fulfillment Path Costing, July 2016, (Yichen Qin, Erick Wikum) An option, a kind of financial derivative, is a special contractual arrangement giving the owner the right to buy or sell an asset at a fixed price on a given date. One of the main energy-related problems is that most households do not operate in an energy efficient manner, such as utilizing natural ventilation or adjusting the thermostat upon weather conditions, thus leading to higher usage than necessary. The performance of this best linear model was comparable to an equivalent nonlinear model, but the execution time of the linear version was magnitudes faster, making it a more desirable model. The College of Medicine also want to identify the most influential predictors in determining the success of the students at the medical school, and finally build a predictive model to do so. She is an Ohio native with a Bachelor of Science in Journalism from E.W. Increasing usage of the internet means that it is important for companies to maintain an online presence. After development of a valid model, the value of adding an additional attending is explored, considering four different scheduled shifts for the extra physician. Vallabh Reddy Burla, APPAREL IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS, August 2020, (Dungang Liu, Yan Yu). There are three types of seasonality in the hourly data – daily, weekly, and yearly. Many mathematical models have been developed to try to control risk in an investment portfolio, with one of the most widely used models being the value-at-risk (VaR) model. This project is a case study in identifying which factors really affect the reimbursement rates of the Medical procedures based on the Medicare cost reports data submitted to CMS for 2006-2009. KNN, SVM and Neural network models had accuracies of 81.81%, 82.27% and 82.26% on the test data. The aim of the study is not so much to prescribe improved ways of working as it is to provide an understanding of how changes in raw-material rejections and in machine scheduling affect lead times. During a match, players collect experience points and items for their heroes to successful battle with the opposing team's heroes, who attempt to do the same to them. Also, credit card business possesses a risk to the bank whether or not the customer is able to fully repay the amount borrowed using the credit card and there comes the role of collection strategies as in to recover the amount or avoid the customer from being charged-off. In order to incentivize an agent’s affiliation with Ameritas, it has an Agents Benefits & Rewards Program in place which works on the principle of “greater the agent’s results, greater the rewards”. Our goal is to use and optimize Machine Learning models that effectively predict the price using the available information about that time/day and the weather conditions. Further, overfitting was addressed using regularization techniques like dropout, l1 & l2 regularization terms, early stopping and data augmentation. Unsurprisingly, the two variables which were incredibly significant throughout every analysis of all four substances were the student’s perception and ease of access to said substance. It was inferred that the total number of users who voted for the movie, duration of the movie, budget and gross earnings for the movie are key factors that impact the final IMDB score. Matthew Sonnycalb, Simulating Correlated Random Variates Using Reverse Principal Component Analysis, August 2, 2013 (David Kelton, David Rogers) The question that everybody wants to answer is whether wine ratings are related to its physicochemical properties. Other healthcare-market participants, such as insurers, could use the ratings as a comparison tool for making cost-effective decisions about elective procedures. Using a Kaggle dataset that aggregates data at the United States county level and joining other ACS tables to it from the U.S. FactFinder website, this paper analyzes two types of predictive models: regression models to predict a county’s poverty rate and classification models to predict a county’s 2016 general election presidential candidate winner. Finally, results from Association Rules Analysis suggest important cross-selling opportunities for Private Label Fettuccini and Ragu Cheese Creations Alfredo Sauce. The data that I worked on was Concur expense data. Controlling factor in second model is months in a year. Uncertainty in blood supply patterns and donor behaviors is one of the greatest challenges dealt by the Donor Services and Blood Center operations. In this problem statement, A Governmental Maritime and Coastguard Agency is planning to deploy a computer vision based automated system to identify ship type only from the images taken by the survey boats. The secondary objective is to design a framework which can be used to assess different analytical tools for the team. Fei Xu, Multi-period Corporate Bankruptcy Forecasts with Discrete-Time Hazard Models, December 5, 2013 (Yan Yu, Hui Guo [Department of Finance]) There can be many possible fulfillment paths for an order and understanding the cost for each alternative is complex. A well known aphorism states, "the most important attributes of stores are location, location and location". August Spenlau Powers, Exploring the Use of and Attitudes Towards Drugs and Alcohol in the Kenton County Public School System, June 2016, (Yan Yu, Edward Winkofsky) Knowing and understanding from a portfolio point of view, it is of great significance to be able to forecast how would the book look like in the future. Then, the report also tries to build several statistical models which can predict the probability of an employee leaving the company given his information and conclude on the best model having highest performance. Academic instincts directed us towards models such as logistic regression and classification trees. Only the random forest model had an accuracy lower than 80 – 71.32%. There are a lot of recommender systems in the existence, most of them either cannot recommend a movie to its existing users efficiently or to a new user. We also assume a non-linear relationship of the independent variables with the dependent variable, stock return. Hui Wang, Spline Regression Modeling and Optimization Analysis of Floor Space, April 2017, (Yichen Qin, Michael Fry) The objective is to predict the exams for every market separately as each market is different from other markets and the business is different for different markets. Both comprise a large collection of packages for specific tasks and have a growing community that offers support and tutorials online. The plethora of variables and their interrelationships reveal some of the important facets of the game.