OpenRefine is a free, open source power tool for working with messy data and improving it

Always know what to expect from your data.

This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

data and code for scrapping and cleaning data on covid-19 in India from https://www.mohfw.gov.in/ and https://www.covid19india.org/

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

对通达信数据进行去重和清洗处理，并将数据存入MongoDB，方便往后研究

Examples for Optimus a Data Cleansing Library for Big Data.

All kaggle datasets and the R codes

Spark-lean, an interactive PySpark-based Data Cleaning Library

repository contains complete WHO data of 2003 outbreak with code used to web scrap, data mung and cleaning

A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.

This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc

Metro Interstate Traffic Volume

The course material from multiple sources

My fictitious firm, GDSMC Global, is a security consultancy focusing on supporting governments around the world in understanding, predicting, and stopping terrorism attacks. Our goal is to allow individual nation states to better deploy security resources to reduce the likelihood of successful terrorism in the future, and to understand what are the likely coming costs of terrorism so that resources can be set aside, in advance, to rebuild after inevitable and unfortunate attack.Although governments can submit their own internal security data to us for study, our models are constructed using the Global Terrorism Database (GTD) maintained by the National Consortium for the Study of Terrorism and Responses to Terrorism at the University of Maryland ( http://start.umd.edu/gtd/ ).

Machine Learning Project on Imbalanced Data in R

The repository contains data and code for scrapping and cleaning data on Ebola outbreak in 2014

It Downloads, outputs in the console, Cleans the data and saves it as a csv file

Text Preprocessing

Repository contains notebooks and datasets on no. of flights departures, passengers flew, flights crashed etc.

Great Milad Motion Repository Files & Projects

The main aim is to clean the data with pandas library.

Datathon sponsored by the City of Los Angeles and Accenture to forecast the payroll data and optimize the inefficient processes

Understanding trends about the work that the federal government outsources and whether there are noticeable differences over time, perhaps indicating differences between presidential administrations

Cleaning Text Manually and with NLTK.