data mining for filtering the resumes using decision tree -- 2

Completed Posted 7 years ago Paid on delivery
Completed Paid on delivery

This is an idea for filtering the resumes. If you have an organization you will be getting multiple resumes. Those resumes should be filtered based on the attributes given by building a decision tree algorithm. A dataset should be developed based on the following attributes: level of education- high school, undergraduate, graduate age- (18-25),(26-30) ,(31-45) Gender- male and female certifications- yes and no internship-yes and no siblings- yes and no education level of the parents- high school, bachelors and graduate . So, there should be 100 people in the data that is 100 data points. There should be 2 classes hired and not hired and an entrophy calculation should be there for discrete values( this has to be analyzed mainly). Decision tree should be built taking the [url removed, login to view], the output should visualize the decision tree and show whether particular person is hired or not hired. Building the decision tree is important .

i need the screenshots of the output after its done. SO, prepare dataset, build decision tree, visualize tree and visualize predictions for each dataset point.

Data Mining Java JavaScript Visualization

Project ID: #11892425

About the project

2 proposals Remote project Active 7 years ago

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Softeria

I have done MS Software Engineering. I had a course on DATA ENGINEERING and Artificial Intelligence. I know all data mining techniques (Predication & Classification) and data analysis techniques. I have worked on K-mea More

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globalbwsindia

We are 1000+ employees in our company. So we can do any kind of project based on all languages and all stream. We have 3 years+ experience employees for all streams especially C PROGRAMMING, C++,C#, , HTML,HTML5,WORD More

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IdeaCentre

Hello, how are you doing today? Click on that__CHAT__button below so that I can ask a few questions concerning your project. I have read all the provided instructions and I am the right person to work on this task. I p More

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