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

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

Prediction of summary source in Python.

Pattern Recognition, NYCU. Homework 4

Prediction of forest cover type in Python.

Combine grid search with early stopping via cross validation

Breast Cancer Wisconsin Dataset Classifier with Scikit-learn and Streamlit

Deep Q Learning (DQN) neural net to optimize a lunar lander control policy using OpenAI Gym environment.

ML model optimization algorithms such as random search, grid search, and Bayesian optimization. are illlustrated with codes.

Applications/Files created in my internship at the Institute for Artificial Intelligence in Bremen (http://ai.uni-bremen.de/).

Backpropagation and automatic differentiation, and grid search from scratch.

A set of functions to optimize machine learning models

A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).

Classification of bird images in Python.

Sklearn compatible gridsearch based on a validation set.

Prediction of molecule type in Python.

pybear is a Python computing library that augments data analytics functionality found in the popular numpy, scikit-learn, dask, and dask_ml libraries.

Using supervised learning on Lending Club loan data to predict default and / or bad loans

Testing several hyperparameter optimization techniques.

A lightweight tool to manage and track your large scale machine leaning experiments