Predict the outcome of shelter animals

Reducción de tiempo de ejecución de los algoritmos de Machine Learning con búsqueda de parámetros en GridSearch.

Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.

Self-assigned project for visual analytics class at Aarhus University, 2021

Prediction of summary source in Python.

Pattern Recognition, NYCU. Homework 4

Implementation of various algorithms on scikit-learn's Toy Datasets.

Prediction of forest cover type in Python.

Code for 1th and 2th stage of 2020 NTI ML competition.

The aim of the project is to determine if a customer will default payment next month or not.

Second project about Classification

Cat vs. Dog classification model using traditional ML methods, including data collection, splitting, HOG feature extraction, model training (e.g., SVM, Decision Tree), and fine-tuning via Grid Search.

Combine grid search with early stopping via cross validation

Comparison of Models using NASA Kepler data

Implémentation des algorithmes simples de Data Science