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9 search results found
Spark Sklearn
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1,039
(Deprecated) Scikit-learn integration package for Apache Spark
Pynets
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111
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
How To Score 0.8134 In Titanic Kaggle Challenge
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105
Solution of the Titanic Kaggle competition
Gentun
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80
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Hgboost
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49
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
Machine Learning Toolkits With Python
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26
Machine learning toolkits with Python
Reskit
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26
A library for creating and curating reproducible pipelines for scientific and industrial machine learning
Machine_learning_a Z_all_codes_and_templates
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20
All codes, both created and optimized for best results from the SuperDataScience Course
Xgboost Lightgbm Hyperparameter Tuning
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14
Bayesian Optimization and Grid Search for xgboost/lightgbm
Tensorcross
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11
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
Exp
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11
python experiment management toolset
Svm
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7
Learn to use Support Vector Machines in Python(sklearn) and R
Project_floodlight
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5
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 le
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