🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Prepping tables for machine learning

Data Preparation for Satellite Machine Learning

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

A New, Interactive Approach to Learning Data Science

convtools is a python library to declaratively define conversions for processing collections, doing complex aggregations and joins.

【AAAI'2021】MVFNet: Multi-View Fusion Network for Efficient Video Recognition

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

ABAP unit testing framework, prepare in Excel, reuse in abap code

This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.

“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Data preparation for data science projects.

GWAS summary statistics files QC tool

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

Foofah: programming-by-example data transformation program synthesizer

Pipeline module for parallel real-time data processing for machine learning models development and production purposes.

Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.