data-cleansing

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

Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

Java DSL for (online) deduplication

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

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

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

Data cleanse, clustering with Vector Quantization and Adaptive Resonance Theory

Data cleaning tool.

Predict if a driver will file an insurance claim next year. (Kaggle Competition)

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.

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

Manipulating and Analyzing Data Interactively with Shiny

stress detection in social networks

Code examples for Chapter 6 of Data Wrangling with JavaScript

Data quality analysis and scoring system.

Categorical Binary Feature encoding script

This project showcase the business dashboard for an E-Commerce company based on its 2008 - 2012 sales records

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

some practical examples to learn data science with python

This project works with data collected from the donor database of Blood Transfusion Service Center in Hsin-Chu City in Taiwan. The center passes its blood transfusion service bus to one university in Hsin-Chu City to gather blood donated about every three months. The dataset, obtained from the UCI Machine Learning Repository, consists of a random sample of 748 donors. The task is to predict if a blood donor will donate within a given time window. The work contains a full model-building process: from inspecting the dataset to using the tpot library to automate your Machine Learning pipeline.

Tidying and cleaning data in Excel sheets

Implements the CAIRAD techique for detecting noisy values in a dataset for Weka

This is the source code for the paper "A probabilistic database approach to autoencoder-based data cleaning".

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

Data manipulation and assessment using Pandas

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