Level UP-Analyzing factors that cause Car speeding Phase 1
Project scope
Categories
Data visualization Data analysis DatabasesSkills
rstudio algorithms cluster analysispositions available: 2
This analysis used data from speed zones and traffic signs using methods such as functional data clustering algorithms. In this project, we will
1. Determine indicators associated with a car speeding such as known police zones, how enforcement is done in these areas and unknown information about the day (weather, holiday, sporting events) that may or may not affect the data.
2. Apply functional data clustering and model-based clustering algorithms
1- Collecting, cleaning, and transforming needed data
2- Use RStudio to create an application to apply the needed clustering algorithm.
3- Analyze and compare the results
Phase 1 of the project will mainly work on ask1 and part of task2.
Phase 2 of the project will finalize task 2 and finish task 3,
The student will work under the supervision of Dr. Mohamad El-Hajj.
About the company
Computer Science studies the nature and techniques of problem solving through computation. Understanding computation requires a knowledge of hardware, software, mathematics and logic. The discipline and practice includes the essentials such as psychology, philosophy, linguistics and management theories–computer science connects technology with people. Students can choose one of two streams of study in computer science. The general computer science major is flexible and allows students to create a focus that reflects your interests. The software professional concentration provides the best preparation for a career in software development.
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