Top 55 exploratory-data-analysis open source projects

Kernel Density Estimation in Python

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

🛠️ 📊 Tools for Exploring and Comparing Data Frames

Tool for visual exploration of complex data.

A day to day plan for this challenge. Covers both theoritical and practical aspects

Functionalities in Excel translated to Python

HandySpark - bringing pandas-like capabilities to Spark dataframes

Complete-Life-Cycle-of-a-Data-Science-Project

Beautiful visualizations of how language differs among document types.

Visualize and compare datasets, target values and associations, with one line of code.

R package for exploratory data analysis

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Impy is a Python3 library with features that help you in your computer vision tasks.

Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

exploratory data analysis using random forests

Create HTML profiling reports from pandas DataFrame objects

Python API for Intelligent Visual Data Discovery

DataPrep — The easiest way to prepare data in Python

Ways of doing Data Science Engineering and Machine Learning in R and Python

Always know what to expect from your data.

A machine learning approach to classify songs by mood.

Preliminary Exploratory Visualisation of Data

Compilation of R and Python programming codes on the Data Professor YouTube channel.

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

data⎰describe: Pythonic EDA Accelerator for Data Science

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻

Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

Insurance fraud claims analysis project

ADENINE: A Data ExploratioN PipelINE

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Solution of the Titanic Kaggle competition

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Analyse academic and non-academic information of students and predict grades

Kaggle Kernels (Python, R, Jupyter Notebooks)

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

For all those who're struggling to find a good hands-on resource (with case studies) to master their Data Science skills, Here's all what you need!

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

A collection of scripts written to complete DQLab Data Analyst Career Track 📊

Classification of Breast Cancer diagnosis Using Support Vector Machines

Jared Kushner and his partners used a program meant for job-starved areas to build a luxury skyscraper

Step-by-step exploratory movement data analysis protocol in a Jupyter notebook

A Toolkit for Interactive Statistical Data Visualization

Single cell analysis in the browser

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.