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feature engineFeature engineering package with sklearn like functionality
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TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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Mutual labels: scikit-learn, feature-engineering, model-evaluation
FeaturetoolsAn open source python library for automated feature engineering
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Auto SklearnAutomated Machine Learning with scikit-learn
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Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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Mutual labels: scikit-learn, feature-engineering
Amazing Feature EngineeringFeature 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.
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Mutual labels: scikit-learn, feature-engineering
NeuraxleA Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
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YellowbrickVisual analysis and diagnostic tools to facilitate machine learning model selection.
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LaleLibrary for Semi-Automated Data Science
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Tune SklearnA drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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Scikit OptimizeSequential model-based optimization with a `scipy.optimize` interface
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FIFA-2019-AnalysisThis is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
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polystoresA library for performing hyperparameter optimization
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adaptAwesome Domain Adaptation Python Toolbox
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HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
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Mutual labels: scikit-learn, feature-engineering
