Prediction Model of Second-hand Automobile Price
Ruijia Du; Ablaye Camara (Advisor)
Abstract
With the rapid development of the automobile industry, the new car transaction market is constantly becoming saturated, while the second-hand car transaction market continues to develop due to its price and other advantages, occupying the mainstream market. As a large number of second-hand car transaction data floods people's vision, the estimation methods and prices of second-hand cars are constantly changing. The project aims to rationalize the price of second-hand cars through data analysis and provide a reference for second-hand car transactions.
Big Data Collection and Development of Forecast
Ningxuan Chen; Ablaye Camara (Advisor)
Abstract
Now we are in the era of big data, data collection, storage, sorting and application of various technologies have become mature. The concept of data has become more important in modern business management.
More and more companies are realizing that data analysis is an important tool to help them understand the past and achieve long-term growth in the future.
Not only do many companies have their own data analysis engineers, but now the number of third-party data service companies is increasing and the quality of service is improving.
Letting the data speak for itself is an important tool for winning the future.
The goal of this capstone project is to analyze the company in the past year to obtain the development forecast for the next year.
The first step is to collect various data of the company over the past year, such as procurement data, business growth level, human resources allocation, capital use, company per capita output value, customer quality and development potential.
At the same time, various data of the industry under the overall environment are collected, such as the trend of the industry change, the opportunities and challenges faced by the industry. With the help of data analysis to get the forecast results, the company's existing problems and future development plans to put forward opinions.
Yelp Rating System
Jacob Thurston, Ablaye Camara (Advisor)
Conclusion
In this analysis, I looked at 2 potential ways for providing secondary ratings to make it easier for Yelp users to select between many different restaurants of the same cuisine – a rating that gives more weight to reviewers who have reviewed other restaurants of the same cuisine, and an “Immigrant Rating” of those with Yelp user names that suggest they might have ethnic expertise with that cuisine.
The Forecast of Gold Price Trend Based on Data Analysis
Cheng Jin Sun; Ablaye Camara (Advisor)
Conclusion
The results show that There is a positively correlation between silver prices and gold prices, Gold is negatively correlated with the other three variables (Crude oil prices, United States inflation rates and DXY).