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My Matlab Ph.D. thesis coding project: the enhanced version of Tree-like Divide to Simplify (T-DTS) ANN (AI/ML) structure-based tool used for classification tasks. The credits: the v.1.0 was developed by Dr. M. Rybnik under supervision of Prof. K. Madani
Dataset classification based on a dynamic classification nodes (XML/JSON), as Multi-grouping is not possible in RDBMS we can implement Logical grouping using classification node/attributes configuration.
Sistem Pendukung Keputusan untuk menentukan layak dan tidaknya seseorang mendapatkan bantuan PKH dengan menggunakan machine learning yaitu C4.5 dan K-Means
In this project, we will create a classification model to predict energy consumptions of buildings(EUI-High/Low) using Decision tree. We aim to use XGBoost to further improve accuracy of the model.