![]() ![]() This project is about Artificial Intelligence. In addition, I focus on Regression model. Then we find out the result.ġ.Poverty level is a value determined by people.Ģ.Population influences poverty in complex ways.ģ.Higher Unemployment rate indicates higher poverty level.Ĥ.Lower bounder of education level have more influence on poverty level.ĥ.Education has long term and short-term influence, but long-term influence has more influence.Ħ.For more specific classifier in decision tree, location becomes a factor in classification of poverty level. We use supervised Learning and follow KDD process to compare Regression and Decision Tree model via RapidMiner. In order to figure out the relationship, we use state and county data about poverty, education, population and unemployment of America In this project. How Education Level, Unemployment and Population influence Poverty in USA Regression model indicates that oil price of a location (TX&OH) will be influenced by local oil production (positive) oil wells number (negative) and gas production (positive). After using k-fold cross validation and bagging validation to test regression model & decision tree model, I find out the result:ĭecision tree model indicates that wells number and oil production will influence the oil price. In this project, I use RapidMiner Studio and Excel data to figure out the relationship between oil price and wells by using regression model and decision tree model with 2 states' data (OH&TX from 1984-2009). Relationship between Oil Price & Wells in OH & TX Special Topic, Software Engineering(ADV), Data mining & Knowledge Discovery, Intro To Engr & Sci Res Methods, Computer Networks, Adv Anal Algorithms & Complexity, Advanced Network, Advanced Data Mining, Advanced Computer Architecture, Statistical Methods, Artificial Intelligence, Distributed & Cloud Computing, Database Theory. Because reading can offer me more approach to thinking and workout can help you get more energy for tomorrow studying and working.Ĭomputer Science,Master, Louisiana Tech University, 2015 /9 – 2017/2 Using work experience to provide more help to the company is my responsibility. My main advantage is communication, adaptability and good self-learning ability. Therefore, I have good experience in a multicultural and diverse work force. I have expert experience in IP, VoIP, SIP, Linux, SQL, PHP, HTML and al kind of switches.īecause of my hard work, I got a chance to France to improve my professional skill and knowledge. Then I focused on validation in OTUC, OXE and Alcatel-Lucent terminals. I started my career as a Software Engineer in Alcatel-Lucent and it is a development work. I also have project experience with MySQL, AWS and Linux. ![]() I can use RapidMiner, SPSS and MatLab to build different model with Statistic and AI knowledge to do predictive analytics and data analytics. In Louisiana Tech University, I focus on Data mining, Cloud Computing and AI. I also have ability to build a good teamship. Professional experiences under pressure and logical way to solve problem between China and France. Email: Master degree in Computer Science from Louisiana Tech University and hold Chinese BS degree. ![]()
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