feature-engine / feature_engine
Feature engineering package with sklearn like functionality
☆2,044Updated last week
Alternatives and similar repositories for feature_engine:
Users that are interested in feature_engine are comparing it to the libraries listed below
- Extra blocks for scikit-learn pipelines.☆1,327Updated last week
- EvalML is an AutoML library written in python.☆807Updated 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…☆646Updated 2 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆612Updated last year
- Machine learning with dataframes☆1,378Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,451Updated 2 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,384Updated 4 months ago
- Predictive Power Score (PPS) in Python☆1,146Updated 4 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆576Updated 11 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆519Updated last month
- python partial dependence plot toolbox☆853Updated 8 months ago
- Algorithms for outlier, adversarial and drift detection☆2,354Updated 2 weeks ago
- A library of sklearn compatible categorical variable encoders☆2,443Updated last month
- Fast SHAP value computation for interpreting tree-based models☆539Updated last year
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,869Updated this week
- Python implementations of the Boruta all-relevant feature selection method.☆1,565Updated 8 months ago
- Leave One Feature Out Importance☆833Updated 2 months ago
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…☆1,799Updated 10 months ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆505Updated last month
- Data Analysis Baseline Library☆727Updated 4 months ago
- A set of data tools in Python☆502Updated 4 months ago
- Algorithms for explaining machine learning models☆2,495Updated last month
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆611Updated this week
- A python library for decision tree visualization and model interpretation.☆3,053Updated 2 months ago
- Scalable machine 🤖 learning for time series forecasting.☆1,014Updated last month
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,152Updated 3 weeks ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,374Updated last week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,965Updated 2 months ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆538Updated 3 months ago