The development of intelligent technologies gains popularity in the education field. The rapid growth of educational data indicates traditional processing methods may have limitations and distortion. Therefore, reconstructing the research technology of data mining in the education field has become increasingly prominent. Data mining methods have been applied in many aspects of educational data Processing, such as student retention, dropout prediction, academic data analysis and student behaviour analysis. The evaluation and prediction of student academic performance have also been important parts to EDM. To evaluate the performance using Machine Learning. Our proposed method we develop Random Forest classifier to predict and analysis the student performance estimate the performance in terms of accuracy.
Including Packages
=======================
* Base Paper
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Readme File
* Addons
* Video Tutorials
* Supporting Softwares
Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand *
* Remote Connectivity *
* Code Customization **
* Document Customization **
* Live Chat Support *
* Toll Free Support *
Call Us:+91 967-774-8277, +91 967-775-1577
Shop Now @ [ Ссылка ]
Chat Now @ [ Ссылка ]
Visit Our Channel: [ Ссылка ]
Mail Us: info@clickmyproject.com
