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Search results for scikit learn feature selection
feature-selection
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scikit-learn
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21 search results found
Feature_engine
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1,651
Feature engineering package with sklearn like functionality
Data Science Complete Tutorial
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1,575
For extensive instructor led learning
Amazing Feature Engineering
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485
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Abess
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317
Fast Best-Subset Selection Library
Upgini
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272
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Adapt
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253
Awesome Domain Adaptation Python Toolbox
Sklearn Genetic Opt
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236
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Feature Engineering Tutorials
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217
Data Science Feature Engineering and Selection Tutorials
Stability Selection
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121
scikit-learn compatible implementation of stability selection.
Scikit Feature
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25
Skrobot
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19
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Fseval
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13
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Cvopt
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12
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
Zoish
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11
Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly
Atlantic
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10
Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning
Sk Transformers
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7
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
Naivefeatureselection
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6
Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884
Step Detection Using Machine Learning
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6
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
Shakespeare Method
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6
The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of electronic health records.
Reddit Flair Detector
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5
A Reddit Flair Detector using Machine Learning Algorithms
Fri
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5
Python implementation of the feature relevance interval (FRI) algorithm
Related Searches
Machine Learning Scikit Learn (1,643)
Python Scikit Learn (1,523)
Jupyter Notebook Scikit Learn (1,289)
Data Science Scikit Learn (391)
Python Feature Selection (297)
1-21 of 21 search results
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