Scikit-learn-compatible visualizations
MIT License
An intuitive library to add plotting functionality to scikit-learn objects.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
Survival analysis built on top of scikit-learn
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Feature engineering sklearn transformer for dates
scikit-learn: machine learning in Python
All the slides, accompanying code and exercises all stored in this repo. 🎈
Distributed scikit-learn meta-estimators in PySpark
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadr...
datascienv is package that helps you to setup your environment in single line of code with all de...
Sequential model-based optimization with a `scipy.optimize` interface
Face the engineering of data preprocessing.
An sklearn style implementation of the Relevance Vector Machine (RVM).
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.