Hyperparameter-Optimization-Tutorial
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Updated
Aug 12, 2018 - Jupyter Notebook
Hyperparameter-Optimization-Tutorial
Aims at attributing the big-five personality traits to authors of essays by analyzing their works.
Predict the outcome of shelter animals
Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'
A set of functions to optimize machine learning models
Implémentation des algorithmes simples de Data Science
Applications/Files created in my internship at the Institute for Artificial Intelligence in Bremen (http://ai.uni-bremen.de/).
Bangla Music Mood Detect Pattern Lab Project
Classify candidate exoplanets using various machine learning models like Random Forest, KNN, Logistic Regression and SVM
This project implements famous MAB algorithms and evaluates them on the basis of their performance - EpsilonGreedy, UCB, BetaThompson, LinUCB, LinThompson.
Comparison of Models using NASA Kepler data
Testing several hyperparameter optimization techniques.
Implementation of various algorithms on scikit-learn's Toy Datasets.
Build a machine learning model to predict if a credit card application will get approved.
Lightweight HyperParameter Optimizer
Reducción de tiempo de ejecución de los algoritmos de Machine Learning con búsqueda de parámetros en GridSearch.
Solution of the Titanic Kaggle competition
A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).
Various small projects covering a wide range of topics
Add a description, image, and links to the gridsearch topic page so that developers can more easily learn about it.
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