data-cleansing

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

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

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊

Wrangler Transform: A DMD system for transforming Big Data

Java DSL for (online) deduplication

This library contains the file system extensions to Data-Forge that allow it to directly read and write CSV and JSON files in Node.js

This repo created for sharing the required/discussed files during Online Internship training program on Data Science Using Python in May-2021

Data cleaning tool.

Data cleanse, clustering with Vector Quantization and Adaptive Resonance Theory

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

XGBoost, LightGBM, LSTM, Linear Regression, Exploratory Data Analysis

Manipulating and Analyzing Data Interactively with Shiny

Here is some implementation and using methods in Topics on Data mining course

Data quality analysis and scoring system.

Categorical Binary Feature encoding script

Code examples for Chapter 6 of Data Wrangling with JavaScript

some practical examples to learn data science with python

D3 visualizations displaying the attribute comparison between the winners of each year

The customer delivery data of a restaurant is explored to detect anomalies which are then rectified by replacing errors and imputing missing values.

Visualizations developed in D3 using TopoJSON mapping the mass shootings in the US from 1966 to 2016

Quickly find flags (words, phrases, etc) within your data. 🕵️‍♂️

Whether or not you like football, the Super Bowl is a spectacle. There's drama in the form of blowouts, comebacks, and controversy in the games themselves. There are the ridiculously expensive ads, some hilarious, others gut-wrenching, thought-provoking, and weird. The half-time shows with the biggest musicians in the world, sometimes riding giant mechanical tigers or leaping from the roof of the stadium. Here, we find out how some of the elements of this show interact with each other.

This is the source code for the paper "Autoencoder-based cleaning in probabilistic databases".

Implements the DMI imputation algorithm for imputing missing values in a dataset from Rahman, M. G., and Islam, M. Z. (2013): Missing Value Imputation Using Decision Trees and Decision Forests by Splitting and Merging Records: Two Novel Techniques

Data Cleaning is a python package for data preprocessing. This cleans the CSV file and returns the cleaned data frame. It does the work of imputation, removing duplicates, replacing special characters, and many more.

stress detection in social networks

This workshop and the materials in this repo are for anyone who is interested in working with Data Analyst to produce high quality, working style! Refer to Google Data Analytics Professional Certificate on Coursear https://www.coursera.org/professional-certificates/google-data-analytics

Public leaderboard 38th place solution (0.700) out of 2,426 teams.