Unsupervised Deep Autoencoders for Feature Extraction with Educational Data
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Updated
Jul 5, 2017 - Python
Unsupervised Deep Autoencoders for Feature Extraction with Educational Data
This project contain the latex report of my final year project about student orientation with data mining
Educational Data Mining Research Project to predict whether a student is wheel spinning or not.
This repository contains all my work for my Machine Learning Project
A recommender system based on data provided by MHRD on colleges and universities in India. Website-
A Genetic Algorithm to optimize textual features by their relevance, highlighting them in HTML.
FATED: Fairness, Accountability, and Transparency in Educational Data
Data mining on the information of whole Iranian students
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network
It is a machine learning model combines two computational intelligence approaches: Genetic Algorithm and Decision Tree. The nome of model (EvolveDTree) represents a acronymous to "Evolved Decision Tree".
Dissertação de Mestrado apresentada ao Programa de Pós-Graduação em Informática - PPGI da Universidade Federal do Espírito Santo - UFES
"Enhancing Knowledge Tracing via Adversarial Training", ACM MM 2021 (Oral).
Code of "Educational Data Mining Discovering Principal Factors for Better Academic Performance", the paper was published on the 3rd International Conference on Big Data Engineering and Technology (BDET 2021)
R (RStudio) | ggplot2 | k-means clustering | Analyzed the 2015-16 and 2016-17 academic result datasets of all my batchmates using cluster analysis to segment them into groups, detect outliers in their academic performance and analyze it for better refinement of habits to help improve their future academic results.
A Curated List of Learning Materials on Machine Learning
Exploratory Data Analysis Course
Accessible Learning Analytic
Source code and data for the EDM 2022 paper
Our full length research is finally acknowledged through double-blind review procedure.
Web-based Clustering Application Using a Shiny Framework for Determining Student Engagement Levels in Virtual Learning Environments
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