36 Open source projects that are alternatives of or similar to Clean

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

simple tools for data cleaning in R

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Reduce, filter, and anonymize moodle data for non-prod environments

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

A light-weight, flexible, and expressive pandas data validation library

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

Professional data validation for the R environment

Encoding methods for dirty categorical variables

Scripts to cleanup data from https://github.com/CSSEGISandData/COVID-19

Neural Machine Translation on the Nepali-English language pair

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Foofah: programming-by-example data transformation program synthesizer

Data Cleaning with OpenRefine for Ecologists

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

Repository for the projects needed to complete the Data Analyst Nanodegree.

Find and replace erroneous fields in data using validation rules

Powerful product analytics for data teams, with full control over data & models.

Exemplary, annotated machine learning pipeline for any tabular data problem.

A toolbox of simple solutions for common data cleaning problems.

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

A Machine Learning System for Data Enrichment.

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

Some of the projects i made when starting to learn R for Data Science at the university

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).

Easy to use Python library of customized functions for cleaning and analyzing data.

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

An R package for data screening

Jupyter notebook and datasets from the pandas Q&A video series

General Assembly's 2015 Data Science course in Washington, DC

Cluster and merge similar char values: an R implementation of Open Refine clustering algorithms

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

📢 Ready to learn or review your knowledge!