Top 507 data-analysis open source projects

daru-io is a plugin gem to the existing daru gem, which aims to add support to Importing DataFrames from / Exporting DataFrames to multiple formats.

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

Notebook of the Crash Course of Pandas 2018

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

An R package to launch shinyrems; an online application that allows a user to access, download, clean, plot and calculate simple statistics using data from the B.C. government Environmental Monitoring System database.

An introductory statistics course for social scientists, using Stata

Bayesian nonparametric models for python

Analytics at NYU by JC Bonilla

An introduction to the practicing neuroscientist to data analysis in Python

Golang Utilities for Data Analysis

Lazylyst is a GUI created for time series review, using a flexible framework for new workflows

AnaLysis routines for ePigenomicS data - 🏫 Bioconductor project

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Machine learning based causal inference/uplift in Python

Exploring data and analyzing metrics for user-specific Medium Stats

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

An exploratory data analysis and data visualization project for World Cup 2018

sknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.

Data Exploration with Apache Drill

Classification of Breast Cancer diagnosis Using Support Vector Machines

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Classification of Higgs boson decays using machine learning. Project for the "Tandem Project" activity at Master degree in Physics.

sciblox - Easier Data Science and Machine Learning

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Data Analysis Workflows & Reproducibility Learning Resources

Graphs and passing networks in football.

Functions for easily making publication-quality figures with matplotlib.

Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library

Running Presto on k8s

Probably the best curated list of data science books in Python

Elephant is the Electrophysiology Analysis Toolkit

A Curated List of Python Resources for Earth Sciences

Quantitative Analysis on sports betting

📖 data-analysis 数据分析流程、machine-learning 机器学习算法、deep-learning 深度学习算法

A repository for football analytics

Functional data science

A Toolkit for Interactive Statistical Data Visualization

Iterative unfolding for Python

A complete toolkit for shotgun proteomics data analysis

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Data visualization tool for wikis evolution

📊 Android library for plotting and editing graphs 📈

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

Presentations on Quantified Self and Self-Tracking with Python

I wrote a Master's in Finance thesis on Monte Carlo simulation of the Multifractal Model of Asset Returns. This is a model developed in the late 1990's by Benoît Mandelbrot and his two students, Laurent Calvet and Adlai Fisher. I had never programmed before and this was my first big coding project — so sorry if the code sucks! I did what I could :)

Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

A Los Angeles Times analysis of California's costly power glut

xarrayutils.readthedocs.io/

The VBA toolbox

Long-term analysis of emotion, age, and sentiment using Lifeslice and text records.

GIS Visualisation for Amazon Athena and BigQuery

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

GDAX data for Pandas in the style of DataReader

📊 Repositório de códigos simples e replicáveis das análises publicadas.

Python

An R package for large scale estimation with stochastic gradient descent

🐼 Collection of Pandas tips and tricks

Real-time corona-virus tracker of Bangladesh 🇧🇩 which includes latest updates, data visualization, public awareness from WHO and some advice to aware people. 🥰❤