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Project done by me for Australian 🇭🇲 student on Jupyter Notebook
University: RMIT University Australia 🇭🇲..

Description: Multiple models are Applied and compared:

Decision Tree, Random Forest, LightGBM, XGBoost, Logistic Regression, Naïve Bayes, KNN, and a Multilayer Perceptron (MLP). Most models achieved exceptional results.

Subject Code : COS 4519

Subject Name : Machine learning & Artificial intelligence.

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