data-preparation
There are 9 repositories under data-preparation topic.
hi-primus / optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Language:Python 1442skrub-data / skrub
Prepping tables for machine learning
Language:Python 1006developmentseed / label-maker
Data Preparation for Satellite Machine Learning
Language:Python 454pablo14 / data-science-live-book
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Language:TeX 216PacktWorkshops / The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
Language:Jupyter Notebook 186iTechArt / convtools-ita
convtools is a python library to declaratively define conversions for processing collections, doing complex aggregations and joins.
Language:Python 183- Language:Python 139
🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)
Language:Vue 133asavinov / prosto
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
Language:Python 89sbcgua / mockup_loader
ABAP unit testing framework, prepare in Excel, reuse in abap code
Language:ABAP 62ruchikaverma-iitg / MoNuSAC
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
Language:Jupyter Notebook 54soumyadip007 / Data-Science-Using-Python-University-Course-Module
“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.
Language:Jupyter Notebook 44ashish-kamboj / Market-Mix-Modeling
Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
Language:R 37Kukuster / SumStatsRehab
GWAS summary statistics files QC tool
Language:Python 32ELToulemonde / dataPreparation
Data preparation for data science projects.
Language:R 31neuro-ml / reskit
A library for creating and curating reproducible pipelines for scientific and industrial machine learning
Language:Jupyter Notebook 27umich-dbgroup / foofah
Foofah: programming-by-example data transformation program synthesizer
Language:CSS 26abrazinskas / machine-learning-data-pipeline
Pipeline module for parallel real-time data processing for machine learning models development and production purposes.
- segmentation-eval
rmsandu / segmentation-eval
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Language:Python 22 Bharat-Reddy / Bank-Marketing-Analysis
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.
bank-marketing-analysisbank-marketingbank-marketing-dataset-analysispattern-recognitionartificial-intelligenceclassificationanalysisdata-sciencedata-visualisationcomputational-intelligencesvm-classifierlogistic-regressionlinear-regressiondata-preprocessingdata-preparationuci-machine-learninguci-bank-marketing-datasetpcaprincipal-component-analysisroc-curveLanguage:Jupyter Notebook 17SagarGaniga / Data-Preprocessing
Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.
Language:Jupyter Notebook 16aws-samples / sm-data-wrangler-mlops-workflows
Integrate SageMaker Data Wrangler into your MLOps workflows with Amazon SageMaker Pipelines, AWS Step Functions, and Amazon Managed Workflow for Apache Airflow (MWAA)
Language:Jupyter Notebook 15- Language:R 13
- Language:Python 13
salehjg / Shapenet2_Preparation
A python script to convert and down-sample mesh data into pointclouds using FPS algorithm.
Language:Python 13SpaceMinds / FDS
BIOBOT: A Fall Detection System (FDS) using Artificial Intelligence
Language:Jupyter Notebook 13dustin-decker / featuremill
general-purpose fast, stateless, and deterministic feature extractor written in golang for use in machine learning
Language:Go 12vzhomeexperiments / R_selflearning
Developing self learning robot
Language:R 12- Language:Java 10
azeezat123 / Bank-statement-Analysis
Documenting the data cleaning process on a bank statement dataset using the python libraries, NumPy and Pandas.
Language:Jupyter Notebook 8RashadGarayev / Image-ClassificationNN
Image classification svm with simple neural network.
Language:Python 8CSFelix / Data-Science-Mental-Maps
🐍 Mental Maps Related to Contents in Data Science 🐍
labrijisaad / Prediction-du-cours-de-Bourse
Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.
data-preparationdata-visualizationexploratory-data-analysislinear-regressionmachine-learningmodel-developmentpandas-tapythonstock-price-forecastingtime-series-analysisapple-inc-aaplautoregressive-integrated-moving-average-arimalong-short-term-memory-lstmmodel-performance-comparisonsupport-vector-machines-svmLanguage:Jupyter Notebook 7- dss-plugin-timeseries-preparation
dataiku / dss-plugin-timeseries-preparation
This Dataiku DSS plugin provides visual recipes to perform resampling, windowing, interval extraction, extrema extraction, and decomposition on time series data.
Language:Python 6 MiladNooraei / Quera-Superstore
Performed data pre-processing, optimized data warehousing, applied statistics and machine learning, and used Power BI for insightful visualizations to support informed decisions
Language:Jupyter Notebook 6SSusantAchary / Data-Annotator-for-SpaCy
🚀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 🔥.
Language:HTML 6
