Yimeng-Zhang / feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
☆1,549Updated 2 years ago
Alternatives and similar repositories for feature-engineering-and-feature-selection
Users that are interested in feature-engineering-and-feature-selection are comparing it to the libraries listed below
Sorting:
- Features selector based on the self selected-algorithm, loss function and validation method☆679Updated 6 years ago
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆589Updated 5 months ago
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆709Updated 10 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆613Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,569Updated 9 months ago
- Code repository for the online course Feature Selection for Machine Learning☆319Updated 6 months ago
- Feature Selection using Genetic Algorithm (DEAP Framework)☆370Updated 2 years ago
- Data Science Feature Engineering and Selection Tutorials☆285Updated 3 months ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆253Updated 5 years ago
- Feature engineering package with sklearn like functionality☆2,051Updated 2 weeks ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆647Updated 2 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆577Updated 11 months ago
- A practical feature engineering handbook☆323Updated 4 years ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆538Updated 3 months ago
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆590Updated 6 years ago
- Code repository for the online course Machine Learning with Imbalanced Data☆177Updated 5 months ago
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,243Updated 10 months ago
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆361Updated 2 weeks ago
- A library of sklearn compatible categorical variable encoders☆2,444Updated last month
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆520Updated last month
- A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…☆659Updated last year
- XGBoost + Optuna☆705Updated 8 months ago
- Automated feature engineering in Python with Featuretools☆517Updated 6 years ago
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆653Updated 2 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆293Updated 5 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆321Updated last year
- python partial dependence plot toolbox☆853Updated 8 months ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆632Updated 2 years ago
- A Python library for dynamic classifier and ensemble selection☆488Updated last year
- A tutorial demonstrating how to implement deep learning models for time series forecasting☆672Updated 4 years ago