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

Tools for cleaning and normalizing text data

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

A set of tools for working with JSON, CSV and Excel workbooks

Data Cleaning with Python

Clean datasets for 10 seasons of the English Premier League, including league tables, match stats, and head-to-head performances

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

dataPipe is a data processing and data analytics library for JavaScript. Inspired by LINQ (C#) and Pandas (Python)

Make rapid visualizations of RNA-seq data in R

🚀🤖 Cognito - Simplifies AutoML Data Preprocessing.

When you need those jobs hypersonic 🚀 scrape 🔪

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

Make quick and dirty data mining made easier in Sublime Text

Fluent dataset operations, compatible with your favorite libraries

Data Wrangling using Pandas

👥 A Reproducible Pipeline for Processing DATASUS Annual Population Estimates by Municipality, Age, and Sex in Brazil

🧹 Tidy Tools

🌾 A Reproducible Pipeline for Processing the Global Dataset of Historical Yields (1981–2016) by Iizumi et al.

Data Analytics, Data Munging, and Plotly Plots

Project for implementing a predictive model for medical diagnosis using supervised linear regression model, allowing certain improvements in the data munging process and experimentation with the feature selection process along with exploring other models

This Virtua Experience included in-depth tasks on Advanced Data Structure, Software Architecture, Relational Database Design and Data Mungling

3 week Capstone project with BP - predicting part failure based on historical data

⚖️ A Reproducible Pipeline for Processing DATASUS Data on the Gini Index of Per Capita Household Income by Brazilian Municipality for the Years 1991, 2000, and 2010

Data Munging, Data Wrangling and Data Preparation Simplified

Used data munging techniques to assess the quality of Liverpool OpenStreetMap dataset for validity, accuracy, completeness, consistency and uniformity. (Python, SQL, data verification, data cleaning)

Analysing, processing, visualizing the data using Machine Learning and Data Science in Python

µnging

Visualize Business Data with Tableau. Create powerful business intelligence reports

Solutions to Kaggle problems.

This repository contains my portfolio site: