data-preparation

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

Data Preparation for Satellite Machine Learning

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

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

A New, Interactive Approach to Learning Data Science

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

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

OS code of Data-prep project

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

“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.

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

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

Data preparation for data science projects.

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.

SAU Makine Öğrenmesi Eğitim İçerikleri

Self-Drive Machine Learning Projects

general-purpose fast, stateless, and deterministic feature extractor written in golang for use in machine learning

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

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.

Image classification svm with simple neural network.

Developing self learning robot

Deep Learning in Medical Sciences to solve tricky problems related to both relational and non-relational data alongside techniques of Computer Vision.

The classic desktop version of osDQ

BIOBOT: A Fall Detection System (FDS) using Artificial Intelligence

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

Make machine learning application production ready

🚀SpAnnor annotator for Named Entity Recognition easy to use tool. The annotator allows users to quickly assign custom labels to one or more entities in the text. Easy to setup for Data Training for SpaCy 🔥.