koaning / scikit-lego
Extra blocks for scikit-learn pipelines.
☆1,312Updated this week
Alternatives and similar repositories for scikit-lego:
Users that are interested in scikit-lego are comparing it to the libraries listed below
- Prepping tables for machine learning☆1,322Updated this week
- Feature engineering package with sklearn like functionality☆2,012Updated this week
- Data Analysis Baseline Library☆726Updated 3 months ago
- Fast SHAP value computation for interpreting tree-based models☆535Updated last year
- Clean APIs for data cleaning. Python implementation of R package Janitor☆1,402Updated this week
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- python partial dependence plot toolbox☆851Updated 6 months ago
- Natural Intelligence is still a pretty good idea.☆806Updated 8 months ago
- Leave One Feature Out Importance☆829Updated last month
- Predictive Power Score (PPS) in Python☆1,132Updated 2 months ago
- Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA☆1,329Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,350Updated this week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆630Updated last month
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,441Updated 2 weeks ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆610Updated last year
- Statistical package in Python based on Pandas☆1,705Updated last week
- Doubt your data, find bad labels.☆509Updated 8 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,556Updated 7 months ago
- EvalML is an AutoML library written in python.☆804Updated this week
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆499Updated last month
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆535Updated last month
- A set of data tools in Python☆500Updated 2 months ago
- A Python package for causal inference in quasi-experimental settings☆958Updated this week
- machine learning with logical rules in Python☆630Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆574Updated 9 months ago
- Time should be taken seer-iously☆314Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆632Updated 2 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆1,958Updated 2 weeks ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,849Updated last month
- Natural Gradient Boosting for Probabilistic Prediction☆1,688Updated 2 weeks ago