A Python library for creating, fitting, and applying predictive data modeling pipelines.
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A library to fit fit the data with multiple fitters.
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
Advanced data wrangling for python
Apache Spark Machine Learning project using MLlib and Linear Regression on Databricks!
It's a cooler way to store simple linear models.
A Python package for building Bayesian models with TensorFlow or PyTorch
Feature selection for hard voting classifier and NN sparse weight initialization.
A commandline tool for analysis of big biological data sets for distributed HPC clusters.
Provide an input CSV and a target field to predict, generate a model + code to run it.
Pipeline components that support partial_fit.
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
SciKIt-learn Pipeline in PAndas
Python library with helpers to speed up and structure machine learning projects.
Extends scikit-learn with new models, transformers, metrics, plotting.
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engin...