Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Data-Science-academic---awesome-datascience
https://github.com/sreedhardata/Data-Science-academic---awesome-datascience
- Here
- Pandas
- <img src="https://cloud.githubusercontent.com/assets/182906/19517857/604f88d8-960c-11e6-97d6-16c9738cb824.png" width="150" />
- <img src="http://i.imgur.com/W2t2Roz.png" width="150" />
- <img src="http://i.imgur.com/rb9ruaa.png" width="150" /> - a-data-scientist/).
- <img src="http://i.imgur.com/XBgKF2l.png" width="150" />
- <img src="http://i.imgur.com/l9ZGtal.jpg" width="150" />
- <img src="http://i.imgur.com/b9xYdZB.jpg" width="150" /> - to-become-a-data-scientist-before-you-graduate/) by Berkeley Science Review.
- <img src="http://i.imgur.com/TWkB4X6.png" width="150" />
- <img src="http://i.imgur.com/gtTlW5I.png" width="150" />
- <img src="http://scikit-learn.org/stable/_static/ml_map.png" width="150" />
- <img src="http://i.imgur.com/3JSyUq1.png" width="150" />
- <img src="http://i.imgur.com/DQqFwwy.png" width="150" />
- <img src="https://www.springboard.com/blog/wp-content/uploads/2016/03/20160324_springboard_vennDiagram.png" width="150" height="150" /> - science-career-paths-different-roles-industry/) by Springboard
- <img src="https://data-literacy.geckoboard.com/assets/img/data-fallacies-to-avoid-preview.jpg" width="150" alt="Data Fallacies To Avoid" /> - data scientist/non-statistician colleagues [how to avoid mistakes with data](https://data-literacy.geckoboard.com/poster/). From Geckoboard's [Data Literacy Lessons](https://data-literacy.geckoboard.com/).
- What is Data Science @ O'reilly
- What is Data Science @ Quora
- The sexiest job of 21st century
- What is data science
- What is a data scientist
- Wikipedia
- How to Become a Data Scientist
- a very short history of #datascience
- An Introduction to Data Science, PDF
- Data Science Methodology by John Rollins PhD
- A Day in the Life of a Data Scientist by Rutgers University
- A list of colleges and universities offering degrees in data science.
- Data Science Degree @ Berkeley
- Data Science Degree @ UVA
- Data Science Degree @ Wisconsin
- Master of Information @ Rutgers
- MS in Computer Information Systems @ Boston University
- MS in Business Analytics @ ASU Online
- Data Science Engineer @ BTH
- MS in Applied Data Science @ Syracuse
- M.S. Management & Data Science @ Leuphana
- Master of Data Science @ Melbourne University
- Msc in Data Science @ The University of Edinburgh
- Master of Management Analytics @ Queen's University
- Master of Data Science @ Illinois Institute of Technology
- Coursera Introduction to Data Science
- Data Science - 9 Steps Courses, A Specialization on Coursera
- Data Mining - 5 Steps Courses, A Specialization on Coursera
- Machine Learning – 5 Steps Courses, A Specialization on Coursera
- CS 109 Data Science
- Schoolofdata
- OpenIntro
- CS 171 Visualization
- Process Mining: Data science in Action
- Oxford Deep Learning
- Oxford Deep Learning - video
- Oxford Machine Learning
- UBC Machine Learning - video
- Data Science Specialization
- Coursera Big Data Specialization
- Data Science and Analytics in Context by Edx
- Big Data University by IBM
- Udacity - Deep Learning
- Keras in Motion
- Microsoft Professional Program for Data Science
- COMP3222/COMP6246 - Machine Learning Technologies
- CS 231 - Convolutional Neural Networks for Visual Recognition
- Academic Torrents
- hadoopilluminated.com
- data.gov - The home of the U.S. Government's open data
- United States Census Bureau
- usgovxml.com
- enigma.com - Navigate the world of public data - Quickly search and analyze billions of public records published by governments, companies and organizations.
- datahub.io
- aws.amazon.com/datasets
- databib.org
- datacite.org
- quandl.com - Get the data you need in the form you want; instant download, API or direct to your app.
- figshare.com
- GeoLite Legacy Downloadable Databases
- Quora's Big Datasets Answer
- Public Big Data Sets
- Houston Data Portal
- Kaggle Data Sources
- Kaggle Datasets
- A Deep Catalog of Human Genetic Variation
- A community-curated database of well-known people, places, and things
- Google Public Data
- World Bank Data
- NYC Taxi data
- Open Data Philly
- A list of useful sources
- grouplens.org
- UC Irvine Machine Learning Repository - contains data sets good for machine learning
- research-quality data sets
- National Climatic Data Center - NOAA
- ClimateData.us
- r/datasets
- MapLight - provides a variety of data free of charge for uses that are freely available to the general public. Click on a data set below to learn more
- GHDx - Institute for Health Metrics and Evaluation - a catalog of health and demographic datasets from around the world and including IHME results
- St. Louis Federal Reserve Economic Data - FRED
- New Zealand Institute of Economic Research – Data1850
- Dept. of Politics @ New York University
- Open Data Sources
- UNICEF Statistics and Monitoring
- UNICEF Data
- undata
- NASA SocioEconomic Data and Applications Center - SEDAC
- The GDELT Project
- Sweden, Statistics
- Github free data source list
- StackExchange Data Explorer - an open source tool for running arbitrary queries against public data from the Stack Exchange network.
- San Fransisco Government Open Data
- IBM Blog abour open data
- Open data Index
- Liver Tumor Segmentation Challenge Dataset
- Public Git Archive
- GHTorrent
- Microsoft Research Open Data
- Open Government Data Platform India
- Google Dataset Search (beta)
- NAYN.CO Turkish News with categories
- Covid-19
- Wes McKinney - Wes McKinney Archives.
- Matthew Russell - Mining The Social Web.
- Greg Reda - Greg Reda Personal Blog
- Kevin Davenport - Kevin Davenport Personal Blog
- Julia Evans - Recurse Center alumna
- Hakan Kardas - Personal Web Page
- Sean J. Taylor - Personal Web Page
- Drew Conway - Personal Web Page
- Hilary Mason - Personal Web Page
- Noah Iliinsky - Personal Blog
- Matt Harrison - Personal Blog
- Data Science Renee
- Vamshi Ambati - AllThings Data Sciene
- Prash Chan - Tech Blog on Master Data Management And Every Buzz Surrounding It
- Clare Corthell - The Open Source Data Science Masters
- Paul Miller
- Data Science London - profit organization dedicated to the free, open, dissemination of data science.
- Datawrangling
- John Myles White
- Quora Data Science - Data Science Questions and Answers from experts
- Siah
- Data Science Report
- Louis Dorard
- Machine Learning Mastery
- Daniel Forsyth - Personal Blog
- Data Science Weekly - Weekly News Blog
- Revolution Analytics - Data Science Blog
- R Bloggers - R Bloggers
- The Practical Quant
- Micheal Le Gal
- Datascope Analytics - driven consulting and design
- Yet Another Data Blog
- Spenczar - building to reporting.
- KD Nuggets
- Meta Brown - Personal Blog
- Data Scientist
- WhatSTheBigData
- Mic Farris
- Tevfik Kosar - Magnus Notitia
- New Data Scientist
- Harvard Data Science - Thoughts on Statistical Computing and Visualization
- Data Science 101 - Learning To Be A Data Scientist
- Kaggle Past Solutions
- DataScientistJourney
- NYC Taxi Visualization Blog
- Learning Lover
- Dataists
- Data-Mania
- Data-Magnum
- Map Reduce Blog
- FastML Blog
- P-value - Musings on data science, machine learning and stats.
- datascopeanalytics
- Digital transformation
- datascientistjourney
- Data Mania Blog - [The File Drawer](http://chris-said.io/) - Chris Said's science blog
- Emilio Ferrara's web page
- DataNews
- Reddit TextMining
- Periscopic
- Hilary Parker
- Data Stories
- Data Science Lab
- Meaning of
- Adventures in Data Land
- DATA MINERS BLOG
- Dataclysm
- FlowingData - Visualization and Statistics
- Calculated Risk
- O'reilly Learning Blog
- Dominodatalab
- i am trask - A Machine Learning Craftsmanship Blog
- Vademecum of Practical Data Science - Handbook and recipes for data-driven solutions of real-world problems
- Dataconomy - A blog on the new emerging data economy
- Springboard - A blog with resources for data science learners
- Analytics Vidhya - A full-fledged website about data science and analytics study material.
- Occam's Razor - Focused on Web Analytics.
- Data School - Data science tutorials for beginners!
- Colah's Blog - Blog for understanding Neural Networks!
- Sebastian's Blog - Blog for NLP and transfer learning!
- Distill - Dedicated to clear explanations of machine learning!
- Chris Albon's Website - Data Science and AI notes
- Andrew Carr - Data Science with Esoteric programming languages
- AI Digest
- Adversarial Learning
- Becoming a Data Scientist
- Data Crunch
- Data Skeptic
- Data Stories
- Learning Machines 101
- Linear Digressions
- Not So Standard Deviations
- Partially Derivative
- Superdatascience
- What's The Point
- Fighting Churn With Data
- Data Science at Scale with Python and Dask
- Python Data Science Handbook
- The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
- The Art of Data Usability - Early access
- Think Like a Data Scientist
- R in Action, Second Edition
- Introducing Data Science
- Practical Data Science with R
- Exploring Data Science - free eBook sampler
- Exploring the Data Jungle - free eBook sampler
- Python® for R Users: A Data Science Approach
- Classic Computer Science Problems in Python
- Math for Programmers
- R in Action, Third Edition
- Data Science Bookcamp
- Data Science Thinking: The Next Scientific, Technological and Economic Revolution
- Applied Data Science: Lessons Learned for the Data-Driven Business
- The Data Science Handbook
- The Data Science Design Manual
- Exploring Data with R - Early access
- Essential Natural Language Processing - Early access
- Mining Massive Datasets - free e-book comprehended by an online course
- Pandas in Action - Early access
- Data
- Big Data Scientist
- Data Science 101
- Data Science Day
- Data Science Academy
- Facebook Data Science Page
- Data Science London
- Data Science Technology and Corporation
- Data Science - Closed Group
- Center for Data Science
- Big data hadoop NOSQL Hive Hbase
- Analytics, Data Mining, Predictive Modeling, Artificial Intelligence
- Big Data Analytics using R
- Big Data Analytics with R and Hadoop
- Big Data Learnings
- Big Data, Data Science, Data Mining & Statistics
- BigData/Hadoop Expert
- Data Mining / Machine Learning / AI
- Data Mining/Big Data - Social Network Ana
- Vademecum of Practical Data Science
- Veri Bilimi Istanbul
- The Data Science Blog
- Big Data Combine - Rapid-fire, live tryouts for data scientists seeking to monetize their models as trading strategies
- Big Data Mania - Data Viz Wiz | Data Journalist | Growth Hacker | Author of Data Science for Dummies (2015)
- Big Data Science - Big Data, Data Science, Predictive Modeling, Business Analytics, Hadoop, Decision and Operations Research.
- Charlie Greenbacker - Director of Data Science at @ExploreAltamira
- Chris Said - Data scientist at Twitter
- Clare Corthell - Dev, Design, Data Science @mattermark #hackerei
- DADI Charles-Abner - #datascientist @Ekimetrics. , #machinelearning #dataviz #DynamicCharts #Hadoop #R #Python #NLP #Bitcoin #dataenthousiast
- Data Science Central - Data Science Central is the industry's single resource for Big Data practitioners.
- Data Science London
- Data Science Renee - Documenting my path from SQL Data Analyst pursuing an Engineering Master's Degree to Data Scientist
- Data Science Report - Mission is to help guide & advance careers in Data Science & Analytics
- Data Science Tips - Tips and Tricks for Data Scientists around the world! #datascience #bigdata
- Data Vizzard - DataViz, Security, Military
- DataScienceX
- deeplearning4j
- DJ Patil - White House Data Chief, VP @ RelateIQ.
- Domino Data Lab
- Drew Conway - Data nerd, hacker, student of conflict.
- Emilio Ferrara - #Networks, #MachineLearning and #DataScience. I work on #Social Media. Postdoc at @IndianaUniv
- Erin Bartolo - Running with #BigData--enjoying a love/hate relationship with its hype. @iSchoolSU #DataScience Program Mgr.
- Greg Reda
- Gregory Piatetsky - KDnuggets President, Analytics/Big Data/Data Mining/Data Science expert, KDD & SIGKDD co-founder, was Chief Scientist at 2 startups, part-time philosopher.
- Hakan Kardas - Data Scientist
- Hilary Mason - Data Scientist in Residence at @accel.
- Jeff Hammerbacher
- John Myles White
- Juan Miguel Lavista - Principal Data Scientist @ Microsoft Data Science Team
- Julia Evans - Hacker - Pandas - Data Analyze
- Kenneth Cukier - The Economist's Data Editor and co-author of Big Data (http://big-data-book.com ).
- Kevin Davenport - Organizer of https://meetup.com/San-Diego-R-Users-Group/
- Kevin Markham - Data science instructor, and founder of [Data School](http://www.dataschool.io/)
- Kim Rees - Interactive data visualization and tools. Data flaneur.
- Kirk Borne - DataScientist, PhD Astrophysicist, Top #BigData Influencer.
- Linda Regber - Data story teller, visualizations.
- Luis Rei - PhD Student. Programming, Mobile, Web. Artificial Intelligence, Intelligent Robotics Machine Learning, Data Mining, Natural Language Processing, Data Science.
- Mark Stevenson - Data Analytics Recruitment Specialist at Salt (@SaltJobs) | Analytics - Insight - Big Data - Datascience
- Matt Harrison - Opinions of full-stack Python guy, author, instructor, currently playing Data Scientist. Occasional fathering, husbanding, ult|goalt-imate, organic gardening.
- Matthew Russell - Mining the Social Web.
- Mert Nuhoğlu
- Monica Rogati - Data @ Jawbone. Turned data into stories & products at LinkedIn. Text mining, applied machine learning, recommender systems. Ex-gamer, ex-machine coder; namer.
- Noah Iliinsky - Visualization & interaction designer. Practical cyclist. Author of vis books: http://www.oreilly.com/pub/au/4419
- Paul Miller - Cloud Computing/ Big Data/ Open Data Analyst & Consultant. Writer, Speaker & Moderator. Gigaom Research Analyst.
- Peter Skomoroch - Creating intelligent systems to automate tasks & improve decisions. Entrepreneur, ex Principal Data Scientist @LinkedIn. Machine Learning, ProductRei, Networks
- Prash Chan - Solution Architect @ IBM, Master Data Management, Data Quality & Data Governance Blogger. Data Science, Hadoop, Big Data & Cloud.
- Quora Data Science
- R-Bloggers - Tweet blog posts from the R blogosphere, data science conferences and (!) open jobs for data scientists.
- Rand Hindi
- Randy Olson - Computer scientist researching artificial intelligence. Data tinkerer. Community leader for @DataIsBeautiful. #OpenScience advocate.
- Recep Erol - Data Science geek @ UALR
- Ryan Orban - Data scientist, genetic origamist, hardware aficionado
- Sean J. Taylor - Social Scientist. Hacker. Facebook Data Science Team. Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.
- Silvia K. Spiva - #DataScience at Cisco
- Harsh B. Gupta - Data Scientist at BBVA Compass
- Spencer Nelson - Data nerd
- Talha Oz - Enjoys ABM, SNA, DM, ML, NLP, HI, Python, Java. Top percentile kaggler/data scientist
- Tasos Skarlatidis - Complex Event Processing, Big Data, Artificial Intelligence and Machine Learning. Passionate about programming and open-source.
- Terry Timko - InfoGov; Bigdata; Data as a Service; Data Science; Open, Social & Business Data Convergence
- Tony Baer - IT analyst with Ovum covering Big Data & data management with some systems engineering thrown in.
- Tony Ojeda - Data Scientist | Author | Entrepreneur. Co-founder @DataCommunityDC. Founder @DistrictDataLab. #DataScience #BigData #DataDC
- Vamshi Ambati - Data Science @ PayPal. #NLP, #machinelearning; PhD, Carnegie Mellon alumni (Blog: https://allthingsds.wordpress.com )
- Wes McKinney - Pandas (Python Data Analysis library).
- WileyEd - Senior Manager - @Seagate Big Data Analytics | @McKinsey Alum | #BigData + #Analytics Evangelist | #Hadoop, #Cloud, #Digital, & #R Enthusiast
- WNYC Data News Team - The data news crew at @WNYC. Practicing data-driven journalism, making it visual and showing our work.
- What is machine learning?
- Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
- Deep Learning: Intelligence from Big Data
- Interview with Google's AI and Deep Learning 'Godfather' Geoffrey Hinton
- Introduction to Deep Learning with Python
- What is machine learning, and how does it work?
- Data School - Data Science Education
- Neural Nets for Newbies by Melanie Warrick (May 2015)
- Neural Networks video series by Hugo Larochelle
- Google DeepMind co-founder Shane Legg - Machine Super Intelligence
- Data Science Primer
- Open Data Science
- Loss function porn
- Machinelearning
- Karate Club - An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
- ML Workspace - All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a Docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
- neptune.ml - > Community-friendly platform supporting data scientists in creating and sharing machine learning models. Neptune facilitates teamwork, infrastructure management, models comparison and reproducibility.
- steppy - > Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces very simple interface that enables clean machine learning pipeline design.
- steppy-toolkit - > Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.
- Datalab from Google
- Hortonworks Sandbox
- R
- RStudio
- Python - Pandas - Anaconda - ready Python distribution for large-scale data processing, predictive analytics, and scientific computing
- Scikit-Learn
- NumPy - dimensional arrays and matrices and includes an assortment of high-level mathematical functions to operate on these arrays.
- SciPy
- Data Science Toolbox - Coursera Course
- Data Science Toolbox - Blog
- Wolfram Data Science Platform - based Wolfram Language.
- Sense Data Science Development Platform
- Datadog - scale data science.
- Variance
- Kite Development Kit
- Domino Data Labs
- Apache Flink - purpose data processing.
- Apache Hama - Level open source project, allowing you to do advanced analytics beyond MapReduce.
- Weka
- Octave - level interpreted language, primarily intended for numerical computations.(Free Matlab)
- Apache Spark - fast cluster computing
- Hydrosphere Mist - a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services.
- Caffe
- Torch
- Nervana's python based Deep Learning Framework
- Skale - High performance distributed data processing in NodeJS
- Aerosolve - A machine learning package built for humans.
- Intel framework - Intel® Deep Learning Framework
- Datawrapper
- Tensor Flow - TensorFlow is an Open Source Software Library for Machine Intelligence
- Natural Language Toolkit
- nlp-toolkit for node.js
- Julia - level, high-performance dynamic programming language for technical computing
- IJulia - language backend combined with the Jupyter interactive environment
- Apache Zeppelin - Web-based notebook that enables data-driven,
- Featuretools - An open source framework for automated feature engineering written in python
- Optimus - Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
- Albumentations - А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.
- DVC - An open-source data science version control system. It helps track, organize and make data science projects reproducible. In its very basic scenario it helps version control and share large data and model files.
- Lambdo
- Feast - A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
- Polyaxon - A platform for reproducible and scalable machine learning and deep learning.
- LightTag - Text Annotation Tool for teams
- Trains - Auto-Magical Experiment Manager, Version Control & DevOps for AI
- Hopsworks - Open-source data-intensive machine learning platform with a feature store. Ingest and manage features for both online (MySQL Cluster) and offline (Apache Hive) access, train and serve models at scale.
- MindsDB - MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.
- Lightwood - A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with an objective to build predictive models with one line of code.
- AWS Data Wrangler - An open-source Python package that extends the power of Pandas library to AWS connecting DataFrames and AWS data related services (Amazon Redshift, AWS Glue, Amazon Athena, Amazon EMR, etc).
- addepar
- amcharts
- anychart
- slemma
- cartodb
- Cube
- d3plus
- Data-Driven Documents(D3js)
- datahero
- dygraphs
- ECharts
- exhibit
- Gatherplot
- gephi
- ggplot2
- Glue
- Google Chart Gallery
- highcarts
- import.io
- jqplot
- Matplotlib
- nvd3
- Opendata-tools - list of open source data visualization tools
- Openrefine
- plot.ly
- raw
- rcharts
- techanjs
- tenxer
- Timeline
- variancecharts
- vida
- Wrangler
- r2d3
- NetworkX - High-productivity software for complex networks
- Redash
- C3 - D3-based reusable chart library
- TensorWatch - Debugging and visualization for data science and machine learning
- ICML - International Conference on Machine Learning
- epjdatascience
- Journal of Data Science - an international journal devoted to applications of statistical methods at large
- Big Data Research
- Journal of Big Data
- Big Data & Society
- Data Science Journal
- datatau.com/news - Like Hacker News, but for data
- Data Science Trello Board
- Medium Data Science Topic - Data Science related publications on medium
- How to Become a Data Scientist
- Introduction to Data Science
- Intro to Data Science for Enterprise Big Data
- How to Interview a Data Scientist
- How to Share Data with a Statistician
- The Science of a Great Career in Data Science
- What Does a Data Scientist Do?
- Building Data Start-Ups: Fast, Big, and Focused
- How to win data science competitions with Deep Learning
- Kaggle
- DrivenData
- Analytics Vidhya
- The Data Science Game
- InnoCentive
- TuneedIT
- Digital Data
- Data science your way
- PySpark Cheatsheet
- Machine Learning, Data Science and Deep Learning with Python
- How To Label Data
- Your Guide to Latent Dirichlet Allocation
- Data Scientist with R
- Data Scientist with Python
- awesome-awesomeness
- Awesome Machine Learning
- lists
- awesome-dataviz
- awesome-python
- Data Science IPython Notebooks.
- awesome-r
- awesome-datasets - quality open datasets in public domains
- awesome-Machine Learning & Deep Learning Tutorials
- Awesome Data Science Ideas
- Machine Learning for Software Engineers
- Community Curated Data Science Resources
- Awesome Machine Learning On Source Code
- Awesome Community Detection
- Awesome Graph Classification
- Awesome Decision Tree Papers
- Awesome Fraud Detection Papers
- Awesome Gradient Boosting Papers
- Awesome Computer Vision Models
- Awesome Monte Carlo Tree Search
- Glossary of common statistics and ML terms
- 100 NLP Papers
Programming Languages
Keywords
machine-learning
17
data-science
13
deep-learning
10
python
9
awesome
4
ml
4
jupyter
4
gradient-boosting
3
data-analysis
3
deepwalk
3
scikit-learn
3
classifier
3
jupyter-notebook
3
ai
3
random-forest
3
awesome-list
3
node2vec
3
reinforcement-learning
3
pytorch
3
r
3
tensorflow
3
artificial-intelligence
3
big-data
2
unsupervised-learning
2
serverless
2
lightgbm
2
gradient-boosting-machine
2
classification-algorithm
2
notebook
2
decision-tree
2
classification-trees
2
spark
2
catboost
2
aws
2
kubernetes
2
neural-networks
2
graph-classification
2
forecasting
2
feature-engineering
2
data-mining
2
caffe
2
machine-learning-algorithms
2
dataset
2
keras
2
matplotlib
2
numpy
2
pandas
2
community-detection
2
mlops
2
graph-clustering
2