My Own Repository with workfolders and others such as Group Projects etc...
End-to-end supervised ML pipeline for student performance and dropout prediction. Features data preprocessing, feature engineering, multi-model training, performance comparison, model persistence, and reproducible project structure with detailed README files.
Predicting student dropout using XGBoost and Neural Network models on online course data
Predicting the students' performance. The goal of this project is to identify students at risk of dropping out the school
This repository contains the complete source code, documentation, and presentation of my Final Degree Project in Computer Engineering at the University of La Laguna (ULL).
A comprehensive Machine Learning project predicting student dropout risks. Features end-to-end analysis (EDA), custom algorithms implementation vs. Scikit-learn benchmarks, and advanced optimization strategies.
School Dropout Prediction using Anomaly Detection Autoencoder model (written from scratch, no frameworks used)
Ini adalah proyek prediksi kemungkinan dropout pada mahasiswa yang saya buat untuk memenuhi submission akhir dan syarat kelulusan kelas Penerapan Data Science dari Dicoding
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