grid-search

There are 1 repository under grid-search topic.

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization genetic-algorithm particle-swarm-optimization hyperband random-forest knn svm python-examples python-samples deep-learning artificial-neural-networks
Language:Jupyter Notebook 1246
databricks / spark-sklearn
(Deprecated) Scikit-learn integration package for Apache Spark
apache-spark grid-search machine-learning parameter-tuning scikit-learn
Language:Python 1077
williamFalcon / test-tube
Python library to easily log experiments and parallelize hyperparameter search for neural networks
caffe caffe2 chainer data-science deep-learning grid-search hyperparameter-optimization keras machine-learning neural-networks pytorch random-search tensorflow
Language:JavaScript 735
gmontamat / gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
convolutional-neural-networks cross-validation distributed-algorithm distributed-genetic-algorithm gene-encoding genetic-algorithm genetic-algorithms grid-search hyperparameter-optimization hyperparameter-tuning keras machine-learning master-worker rabbitmq xgboost
Language:Python 82
JuliaAI / MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
grid-search hyperparameter-optimization julia machine-learning mlj random-search
Language:Julia 66
jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
Bayesian Optimization and Grid Search for xgboost/lightgbm
bayesian-optimization grid-search hyperparameter-tuning lightgbm xgboost
Language:Python 58
WLOGSolutions / telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
r h2o showcase machine-learning grid-search gradient-boosting-machine h2oai rsuite churn-prediction
Language:R 58
osofr / stremr
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
propensity-scores censoring-events ipw-msm grid-search tuning-parameters tmle survival machine-learning targeted-learning time-varying-confounding
Language:R 36
enricoschumann / NMOF
Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .
optimization heuristics simulated-annealing genetic-algorithm differential-evolution threshold-accepting r particle-swarm-optimization local-search grid-search black-scholes implied-volatility
Language:R 35
buomsoo-kim / Machine-learning-toolkits-with-python
Machine learning toolkits with Python
machine-learning cross-validation grid-search python bootstrap scikit-learn ensemble-learning ensemble evaluation metrics roc
Language:Jupyter Notebook 33
farhanchoudhary / Machine_Learning_A-Z_All_Codes_and_Templates
All codes, both created and optimized for best results from the SuperDataScience Course
machine-learning-az classification neural-networks association-rule-learning clustering-algorithm xgboost-algorithm natural-language-processing naive-bayes-classifier dimensionality-reduction principal-component-analysis clustering grid-search k-fold cross-validation deep-learning reinforcement-learning thompson-sampling upper-confidence-bounds
Language:Python 33
eHarmony / spotz
Spark Parameter Optimization and Tuning
hyperparameter-optimization spark optimizer optimization-algorithms machine-learning machinelearning hyperparameter-tuning hyperparameters grid-search random-search vowpal-wabbit
Language:Scala 31
Architectshwet / Loan-prediction-using-Machine-Learning-and-Python
To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib
xgboost grid-search machine-learning scikit-learn pandas seaborn matplotlib voting-classifier
Language:Jupyter Notebook 30
neuro-ml / reskit
A library for creating and curating reproducible pipelines for scientific and industrial machine learning
python pipeline data-preparation grid-search prepare-data scikit-learn reproducible-research reproducible-experiments
Language:Jupyter Notebook 27
Davisy / Hyperparameter-Optimization-Techniques
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
machine-learning hyperparameter-optimization grid-search random-search hyperopt
Language:Jupyter Notebook 17
sourcecode369 / ml-algorithms-on-scikit-and-keras
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
machine-learning deep-learning reinforcement-learning natural-language-processing numpy pandas matplotlib scikit-learn keras regression classification clustering association-rule-learning data-preprocessing dimensionality-reduction t-sne grid-search kfold-cross-validation xgboost multiarm-bandit
Language:Jupyter Notebook 17
hyeonsangjeon / Hyperparameters-Optimization
Hyperparameters-Optimization
bayesian-optimization bayessearchcv fmin grid-search gridsearchcv hpo hyperband hyperbandsearchcv hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning optimization random-search randomsearchcv tpe tree-of-parzen-estimator tree-structured
Language:Jupyter Notebook 16
KunBetter / GridSearch
real-time grid search engine
search-engine go grid-search real-time grid
Language:Go 16
davidenunes / exp
python experiment management toolset
cli configuration-files design-of-experiments grid-search hyperparameter-optimization hyperparameter-tuning matplotlib multiprocessing optimization parallel-processing parameter-space
Language:Python 15
franneck94 / TensorCross
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
cross-validation grid-search tensorflow-datasets tensorflow2 random-search validation tensorflow gridsearchcv dataset python gridsearch
Language:Python 13
yh1008 / deepLearning
MNIST, SVHN, Transfered Learning, DNN, CNN
grid-search transfer-learning keras
Language:Jupyter Notebook 12
bmcmenamin / thresholdOut-explorations
playing with Dwork's adaptive holdout and how to use it for a grid-search
grid-search overfitting holdout differential-privacy thresholdout dwork
Language:Jupyter Notebook 11
sandipanpaul21 / Tree-Based-Models-in-Python
Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.
decision-tree decision-boundary classification-tree decision-regions regression-trees random-forest grid-search grid-search-hyperparameters
Language:Jupyter Notebook 11
DavidCico / Univariate-time-series-analysis-of-cryptocurrency-data-with-ARIMA-and-SARIMA-and-hypergrid-search
Two Jupyter Notebooks written in Python, treating of time series analysis with ARIMA and its seasonal counterpart.
python3 arima-forecasting sarima grid-search hyperparameter-optimization scipy jupyter-notebook pandas-dataframe cryptocurrency financial-analysis time-series-analysis quantitative-analysis
Language:Jupyter Notebook 10
devssh / svm
Learn to use Support Vector Machines in Python(sklearn) and R
support-vector-machines sklearn pandas python r grid-search cross-validation kaggle mushroom-classification credit-card-fraud rstudio ipython-notebook jupyter-notebook matplotlib pyplot anaconda rbf svm
Language:Jupyter Notebook 10
mainkoon81 / Study-09-MachineLearning-A
With some projects to develop "TOOLs" for better Modeling
classifier-model cross-validation f1-score grid-search recall test-scores tools
Language:Jupyter Notebook 9
dumebi / Predicting-Boston-Housing-Prices
Udacity Machine Learning Course Predicting Boston Housing Prices
python machine-learning udacity udacity-machine-learning-nanodegree max-depth cross-validation grid-search boston-housing-dataset boston dataset maximum-depth variance
Language:Python 7
SadmanSakib93 / ANN-Stratified-K-Fold-Cross-Validation-Keras-Tensorflow
This repo contains examples of binary classification with ANN and hyper-parameter tuning with grid search.
ann artificial-neural-networks cross-validation deep-learning grid-search grid-search-hyperparameters ipynb keras-neural-networks keras-tensorflow machine-learning stratified-cross-validation
Language:Jupyter Notebook 7
project_floodlight
asaficontact / project_floodlight
Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.
xgboost-model random-forest classification-model crisis grid-search-hyperparameters acled python3 object-oriented-programming sklearn asia grid-search pandas matplotlib
Language:Jupyter Notebook 6
bhavinidata / AccidentsSeverityPredictionML
Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.
accident-severity aws databricks grid-search machine-learning-algorithms postgres pyspark random-forest sql
Language:Jupyter Notebook 6
yukai-yang / zoomgrid
an R package implementing the grid search optimization algorithm with a zoom
grid-search non-convex-optimization optimization
Language:R 6
Andrew-Carl / Pump-it-Up-Data-Mining-the-Tanzania-Water-Table
Predicting functionality of groundwater pumps throughout Tanzania.
tanzania water-pumps random-forest tanzania-water-table data-mining prediction grid-search logistic-regression
Language:Jupyter Notebook 5
Paritoshyadav / Minimizing-Churn-Rate-Through-Analysis-of-Financial-Habits
Build a Machine learning model to direct customers to subscribe product through a app behavior analysis
machine-learning financial-analysis product-analytics google-colab analysis svm random-forest regularization grid-search
Language:Jupyter Notebook 5
KhaledTofailieh / Reactions-Regression
grid-search machine-learning multioutput-regressor python random-forest scikit-learn
Language:Jupyter Notebook 4
SaeidRostami / Customer_Churn
Customer churn analysis for a telecommunication company
machine-learning data-science data-analysis classification supervised-learning python matplotlib seaborn decision-tree logistic-regression svm-classifier random-forest grid-search ensemble-machine-learning upsampling unbalanced-data feature-importance one-hot-encode
Language:Jupyter Notebook 4
selgho23 / Machine-Learning-Exoplanet-Exploration
Evaluating candidate exoplanets using machine learning algorithms.
machine-learning classification rfc-model linear-regression grid-search
Language:Jupyter Notebook 4

grid-search

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

databricks / spark-sklearn

williamFalcon / test-tube

gmontamat / gentun

JuliaAI / MLJTuning.jl

jia-zhuang / xgboost-lightgbm-hyperparameter-tuning

WLOGSolutions / telco-customer-churn-in-r-and-h2o

osofr / stremr

enricoschumann / NMOF

buomsoo-kim / Machine-learning-toolkits-with-python

farhanchoudhary / Machine_Learning_A-Z_All_Codes_and_Templates

eHarmony / spotz

Architectshwet / Loan-prediction-using-Machine-Learning-and-Python

neuro-ml / reskit

Davisy / Hyperparameter-Optimization-Techniques

sourcecode369 / ml-algorithms-on-scikit-and-keras

hyeonsangjeon / Hyperparameters-Optimization

KunBetter / GridSearch

davidenunes / exp

franneck94 / TensorCross

yh1008 / deepLearning

bmcmenamin / thresholdOut-explorations

sandipanpaul21 / Tree-Based-Models-in-Python

DavidCico / Univariate-time-series-analysis-of-cryptocurrency-data-with-ARIMA-and-SARIMA-and-hypergrid-search

devssh / svm

mainkoon81 / Study-09-MachineLearning-A

dumebi / Predicting-Boston-Housing-Prices

SadmanSakib93 / ANN-Stratified-K-Fold-Cross-Validation-Keras-Tensorflow

asaficontact / project_floodlight

bhavinidata / AccidentsSeverityPredictionML

yukai-yang / zoomgrid

Andrew-Carl / Pump-it-Up-Data-Mining-the-Tanzania-Water-Table

Paritoshyadav / Minimizing-Churn-Rate-Through-Analysis-of-Financial-Habits

KhaledTofailieh / Reactions-Regression

SaeidRostami / Customer_Churn

selgho23 / Machine-Learning-Exoplanet-Exploration