solegalli / feature_engine
Feature engineering package with sklearn like functionality
☆50Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for feature_engine
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆88Updated 10 months ago
- ☆31Updated 6 months ago
- summarytools in jupyter notebook☆96Updated 2 months ago
- A Python libreary for removing collinearity☆28Updated 3 years ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆126Updated 10 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated 8 months ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆53Updated this week
- Slides for "Feature engineering for time series forecasting" talk☆57Updated last year
- ☆32Updated last year
- Forecasting: Principles and Practice☆30Updated 3 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆120Updated 6 months ago
- A library for Time Series EDA (exploratory data analysis)☆67Updated 2 months ago
- ☆92Updated 3 weeks ago
- Validation for forecasts☆18Updated last year
- sktime - python toolbox for time series: pipelines and transformers☆25Updated last year
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆37Updated 2 years ago
- ☆11Updated 5 months ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆58Updated 2 months ago
- Forecasting: principles and practice in python☆85Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆45Updated 3 years ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 2 years ago
- pipreqs with jupyter notebook support☆66Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆49Updated 9 months ago
- Developmental tools to detect data drift☆11Updated 8 months ago
- Example usage of scikit-hts☆56Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆39Updated last year
- ☆272Updated last year
- Streamline scikit-learn model comparison.☆146Updated last year