A list of software and papers related to automatic and fast Exploratory Data Analysis

S4SS: Statistics for Soil Survey

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

gEDA for Windows plus gSpiceUI

All kaggle datasets and the R codes

NBA Daily Fantasy Sports EDA and Player Modelling with R

An R package for accessing and summarising the World Health Organisation Tuberculosis data.

Exploratory Data Analysis of Startup funding in India using dataset from Kaggle.

Exploratory Data Analysis in R using loan data from peer-to-peer lending platform Prosper.

In this SAP CodeJam we will look at SAP Integration Suite, advanced event mesh and how we can use it to connect our systems and services following an Event-driven architecture approach.

This project intended for EDA of the World Happiness Score and how is associated with suicide rates.

Heavy Machinery Auction Prices Predictive Modeling

Fall 2022 section of EMSE 4572: Exploratory Data Analysis @ GWU

Data cleaning and Exploratory data analysis is the challenging task for everyone. Around 80% of time is taken for the data cleaning and EDA and remaining 20% is for model building and all other process. Because of it's time complexity, reasearchers introduced a more Automated libraries for perform Automated EDA and data cleaning operations with …

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

Spring 2021 section of EMSE 4572: Exploratory Data Analysis @ GWU (listed as EMSE 4575 this semester)

Exploratory Data Analysis using R libraries on whitewine dataset.

Udacity's Nanodegree program built in partnership with Kaggle and Mode that aims at training new Data Analysts mastering Python, R, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

DSGO workshop materials for "Saving Puppies with Pandas"

Principal Component Analysis is One of the Most Popular Dimensionality Reduction Algorithms used in Machine Learning Which comes under Unsupervised Way of Learning. It is also Used as a way of Feature Extraction where, More Information is Extracted from all the Existing Attributes, in just some 3-4 Attributes using the Concepts of Eigen Values a…