Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
MIT License
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstract...
Principle component analysis with varimax rotation and various dimensionality reduction methods b...
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Random Forest-based "Correlation" measures
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Expl...
Python library for portfolio optimization built on top of scikit-learn
High-Performance Symbolic Regression in Python and Julia
All the slides, accompanying code and exercises all stored in this repo. 🎈
Hierarchical Time Series Forecasting with a familiar API
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feat...
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Feature engineering package with sklearn like functionality
A python library for decision tree visualization and model interpretation.
An intuitive library to add plotting functionality to scikit-learn objects.