Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-datascience
https://github.com/hendraryadi57/awesome-datascience
Last synced: 4 days ago
JSON representation
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Training Resources
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Tutorials
- #tidytuesday
- Data science your way
- PySpark Cheatsheet
- Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppard
- Tutorials to get started on signal processings for machine learning
- Minimum Viable Study Plan for Machine Learning Interviews
- Understand and Know Machine Learning Engineering by Building Solid Projects
- Machine Learning, Data Science and Deep Learning with Python
- How To Label Data
- Your Guide to Latent Dirichlet Allocation
- Over 1000 Data Science Online Courses at Classpert Online Search Engine
- Python for Data Science: A Beginner’s Guide
- 1000 Data Science Projects
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Free Courses
- AI Expert Roadmap - Roadmap to becoming an Artificial Intelligence Expert
- Data Scientist with R
- Data Scientist with R
- Data Scientist with Python
- Skillcombo - Data Science - 1000+ free online Data Science courses
- Learning from Data - Introduction to machine learning covering basic theory, algorithms and applications
- Kaggle - Learn about Data Science, Machine Learning, Python etc
- ML Observability Fundamentals - Learn how to monitor and root-cause production ML issues.
- Weights & Biases Effective MLOps: Model Development - Free Course and Certification for building an end-to-end machine using W&B
- Data Scientist with Python
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MOOC's
- CS 109 Data Science
- Data Science Specialization
- 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
- OpenIntro
- CS 171 Visualization
- Process Mining: Data science in Action
- Oxford Deep Learning
- Oxford Machine Learning
- UBC Machine Learning - video
- Coursera Big Data Specialization
- Cognitive Class AI 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
- Coursera Tensorflow in practice
- Coursera Deep Learning Specialization
- 365 Data Science Course
- Coursera Natural Language Processing Specialization
- Coursera GAN Specialization
- Codecademy's Data Science
- Linear Algebra - Linear Algebra course by Gilbert Strang
- Data Science: Statistics & Machine Learning
- Machine Learning Engineering for Production (MLOps)
- Recommender Systems Specialization from University of Minnesota
- Stanford Artificial Intelligence Professional Program
- Data Scientist with Python
- Oxford Deep Learning - video
- Python for Data Science Foundation Course
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Colleges
- A list of colleges and universities offering degrees in data science.
- Data Science Degree @ Berkeley
- Data Science Degree @ UVA
- MS in Computer Information Systems @ Boston University
- MS in Applied Data Science @ Syracuse
- M.S. Management & Data Science @ Leuphana
- Master of Data Science @ Melbourne University
- Master of Management Analytics @ Queen's University
- Master of Data Science @ Illinois Institute of Technology
- Master of Applied Data Science @ The University of Michigan
- Master Data Science and Artificial Intelligence @ Eindhoven University of Technology
- Master's Degree in Data Science and Computer Engineering @ University of Granada
- Msc in Data Science @ The University of Edinburgh
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Intensive Programs
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The Data Science Toolbox
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General Machine Learning Packages
- scikit-multilearn
- sklearn-expertsys
- scikit-feature
- scikit-rebate
- seqlearn
- sklearn-bayes
- sklearn-crfsuite
- sklearn-deap
- sigopt_sklearn
- sklearn-evaluation
- scikit-image
- scikit-opt
- scikit-posthocs
- pystruct
- xLearn
- cuML
- causalml
- mlpack
- MLxtend
- modAL
- Sparkit-learn
- dlib
- imodels
- RuleFit
- pyGAM
- Deepchecks
- scikit-learn
- Shogun
- hyperlearn
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Deep Learning Packages
- PyTorch
- torchvision
- torchtext
- torchaudio
- ignite
- PyTorchNet
- PyToune
- skorch
- PyVarInf
- pytorch_geometric
- GPyTorch
- pyro
- Catalyst
- pytorch_tabular
- TensorFlow
- TensorLayer
- TFLearn
- tensorpack
- TRFL
- NeuPy
- tfdeploy
- tensorflow-upstream
- TensorFlow Fold
- tensorlm
- TensorLight
- Mesh TensorFlow
- Ludwig
- TF-Agents
- TensorForce
- keras-contrib
- Hyperas
- Elephas
- Hera
- Spektral
- qkeras
- keras-rl
- Talos
- cartodb
- Cube
- Netron
- vizzu
- TensorWatch
- altair
- addepar
- amcharts
- anychart
- bokeh
- Comet
- slemma
- d3plus
- Data-Driven Documents(D3js)
- dygraphs
- ECharts
- exhibit
- gephi
- ggplot2
- Glue
- Google Chart Gallery
- highcarts
- import.io
- jqplot
- Matplotlib
- nvd3
- Openrefine
- Seaborn
- techanjs
- Timeline
- variancecharts
- vida
- Wrangler
- r2d3
- NetworkX
- Redash
- C3
- Sonnet
- Polyaxon
- TRFL
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Miscellaneous Tools
- The Data Science Lifecycle Process
- Data Science Lifecycle Template Repo
- RexMex
- ChemicalX
- PyTorch Geometric Temporal
- Little Ball of Fur - Learn like API. |
- Karate Club - Learn like API. |
- ML Workspace - 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) |
- steppy
- steppy-toolkit
- Pandas GUI
- Hydrosphere Mist
- Nervana's python based Deep Learning Framework
- Skale
- Intel framework
- IJulia - language backend combined with the Jupyter interactive environment |
- Featuretools
- Optimus - processing, feature engineering, exploratory data analysis and easy ML with PySpark backend. |
- Albumentations
- DVC - 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
- Trains - Magical Experiment Manager, Version Control & DevOps for AI |
- Hopsworks - 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
- Lightwood
- CML - like environments with GitHub Actions & GitLab CI, and autogenerate visual reports on pull/merge requests. |
- Grid Studio - based spreadsheet application with full integration of the Python programming language. |
- Python Data Science Handbook
- Shapley - driven framework to quantify the value of classifiers in a machine learning ensemble. |
- Towhee
- LineaPy
- envd
- MLEM
- cleanlab - centric AI and automatically detecting various issues in ML datasets |
- AutoGluon - series, and multi-modal data |
- Explore Data Science Libraries
- R
- Tidyverse
- Scikit-Learn
- NumPy - dimensional arrays and matrices and includes an assortment of high-level mathematical functions to operate on these arrays. |
- Vaex
- SciPy
- Data Science Toolbox
- Data Science Toolbox
- Datadog - scale data science. |
- Variance
- Kite Development Kit
- Apache Flink - purpose data processing. |
- Apache Hama - Level open source project, allowing you to do advanced analytics beyond MapReduce. |
- Weka
- Apache Spark - fast cluster computing |
- Caffe
- Torch
- Aerosolve
- Datawrapper
- Tensor Flow
- Natural Language Toolkit
- nlp-toolkit for node.js
- Apache Zeppelin - based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more |
- LightTag
- Amazon Rekognition
- Amazon Textract
- Amazon Lookout for Vision
- Amazon CodeGuru - powered recommendations.|
- Statsmodels - based inferential statistics, hypothesis testing and regression framework |
- Gensim - source library for topic modeling of natural language text |
- spaCy
- PyStan
- hmmlearn
- Nimblebox - stack MLOps platform designed to help data scientists and machine learning practitioners around the world discover, create, and launch multi-cloud apps from their web browser. |
- MLflow
- Arize AI - causing issues such as data quality and performance drift. |
- ERD Lab - Free cloud based entity relationship diagram (ERD) tool made for developers.
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Algorithms
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Literature and Media
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Books
- Python Data Science Handbook
- Interpretable Machine Learning: A Guide for Making Black Box Models Explainable - Free GitHub version
- Neural Networks and Deep Learning
- Deep Learning Cookbook
- Data Science From Scratch: First Principles with Python
- Artificial Intelligence with Python - Tutorialspoint
- Machine Learning from Scratch
- Probabilistic Machine Learning: An Introduction
- A Comprehensive Guide to Machine Learning
- How to Lead in Data Science - Early access
- Fighting Churn With Data
- Data Science at Scale with Python and Dask
- The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
- Think Like a Data Scientist
- Introducing Data Science
- Practical Data Science with R
- Everyday Data Science
- Exploring Data Science - free eBook sampler
- Exploring the Data Jungle - free eBook sampler
- 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
- Essential Natural Language Processing - Early access
- Mining Massive Datasets - free e-book comprehended by an online course
- Pandas in Action - Early access
- Advances in Genetic Programming, Vol. 3 - Free Download
- Global Optimization Algorithms: Theory and Application - Free Download
- Genetic Algorithms and Evolutionary Computation - Free Download
- Convex Optimization - Convex Optimization book by Stephen Boyd - Free Download
- R for Data Science
- Build a Career in Data Science
- Machine Learning Bookcamp - Early access
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
- Effective Data Science Infrastructure
- Practical MLOps: How to Get Ready for Production Models
- Regression, a Friendly guide - Early access
- Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing
- Data Science at the Command Line: Facing the Future with Time-Tested Tools
- Machine Learning - CIn UFPE
- Machine Learning with Python - Tutorialspoint
- Deep Learning
- Designing Cloud Data Platforms - Early access
- An Introduction to Statistical Learning with Applications in R
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Deep Learning with PyTorch
- Introduction to Machine Learning with Python
- Artificial Intelligence: Foundations of Computational Agents, 2nd Edition - Free HTML version
- The Quest for Artificial Intelligence: A History of Ideas and Achievements - Free Download
- Graph Algorithms for Data Science - Early access
- Data Mesh in Action - Early access
- Regular Expression Puzzles and AI Coding Assistants
- Dive into Deep Learning
- Data for All
- Foundations of Data Science
- Comet for DataScience: Enhance your ability to manage and optimize the life cycle of your data science project
- Data Analysis with Python and PySpark
- Casual Inference for Data Science - Early access
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Presentations
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Journals, Publications and Magazines
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- ICML - International Conference on Machine Learning
- GECCO - The Genetic and Evolutionary Computation Conference (GECCO)
- epjdatascience
- Journal of Data Science - an international journal devoted to applications of statistical methods at large
- 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
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- all AI news - The AI/ML/Big Data news aggregator platform
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
- Towards Data Science Genetic Algorithm Topic - Genetic Algorithm related Publications onTowards Data Science
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Bloggers
- Dataclysm
- datascopeanalytics
- Dataclysm
- Dataclysm
- Dataclysm
- Wes McKinney - Wes McKinney Archives.
- Matthew Russell - Mining The Social Web.
- Greg Reda - Greg Reda 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
- 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
- Quora Data Science - Data Science Questions and Answers from experts
- Siah
- 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
- Yet Another Data Blog
- Spenczar - building to reporting.
- KD Nuggets
- Meta Brown - Personal Blog
- WhatSTheBigData
- 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
- Learning Lover
- Dataists
- Data-Mania
- Data-Magnum
- P-value - Musings on data science, machine learning and stats.
- Digital transformation
- Data Mania Blog - [The File Drawer](https://chris-said.io/) - Chris Said's science blog
- Emilio Ferrara's web page
- DataNews
- Reddit TextMining
- Periscopic
- Hilary Parker
- Data Science Lab
- Meaning of
- DATA MINERS BLOG
- Dataclysm
- FlowingData - Visualization and Statistics
- Calculated Risk
- O'reilly Learning Blog
- 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!
- Chris Albon's Website - Data Science and AI notes
- Andrew Carr - Data Science with Esoteric programming languages
- floydhub - Blog for Evolutionary Algorithms
- Jingles - Review and extract key concepts from academic papers
- nbshare - Data Science notebooks
- Deep and Shallow - All things Deep and Shallow in Data Science
- Loic Tetrel - Data science blog
- Chip Huyen's Blog - ML Engineering, MLOps, and the use of ML in startups
- Maria Khalusova - Data science blog
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- datascientistjourney
- Dataclysm
- Dataclysm
- Dataclysm
- Dataclysm
- Dominodatalab
- Sebastian's Blog - Blog for NLP and transfer learning!
- Adventures in Data Land
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Newsletters
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Podcasts
- Data Stories
- AI at Home
- AI Today
- Adversarial Learning
- Becoming a Data Scientist
- Data Crunch
- Data Engineering Podcast
- Data Science at Home
- Data Science Mixer
- Data Skeptic
- Datacast
- Learning Machines 101
- Linear Digressions
- Not So Standard Deviations
- O'Reilly Data Show Podcast
- Partially Derivative
- The Data Engineering Show
- The Radical AI Podcast
- The Robot Brains Podcast
- What's The Point
- How AI Built This
- DataFramed
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YouTube Videos & Channels
- 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?
- Neural Nets for Newbies by Melanie Warrick (May 2015)
- Google DeepMind co-founder Shane Legg - Machine Super Intelligence
- Data Science Primer
- Data Science with Genetic Algorithms
- Ask Dr Chong: How to Lead in Data Science - Part 1
- Ask Dr Chong: How to Lead in Data Science - Part 2
- Ask Dr Chong: How to Lead in Data Science - Part 3
- Ask Dr Chong: How to Lead in Data Science - Part 4
- Ask Dr Chong: How to Lead in Data Science - Part 5
- Ask Dr Chong: How to Lead in Data Science - Part 6
- Regression Models: Applying simple Poisson regression
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-
Fun
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Datasets
- NYC Taxi data
- Open Data Sources
- NAYN.CO Turkish News with categories
- Covid-19
- Covid-19 Google
- 5000 Images of Clothes
- GHTorrent
- 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
- UNICEF Data
- undata
- Academic Torrents
- ADS-B Exchange - Specific datasets for aircraft and Automatic Dependent Surveillance-Broadcast (ADS-B) sources.
- Public Big Data Sets
- data.gov - The home of the U.S. Government's open data
- United States Census Bureau
- usgovxml.com
- datahub.io
- datacite.org
- The official portal for European data
- NASDAQ:DATA - Nasdaq Data Link A premier source for financial, economic and alternative datasets.
- figshare.com
- GeoLite Legacy Downloadable Databases
- Quora's Big Datasets Answer
- Kaggle Datasets
- A Deep Catalog of Human Genetic Variation
- Google Public Data
- World Bank Data
- grouplens.org
- research-quality data sets
- National Centers for Environmental Information
- 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
- NASA SocioEconomic Data and Applications Center - SEDAC
- The GDELT Project
- SocialGrep - a collection of open Reddit datasets.
- San Fransisco Government Open Data
- IBM Asset Dataset
- Open data Index
- Public Git Archive
- Microsoft Research Open Data
- Open Government Data Platform India
- Google Dataset Search (beta)
- Enron Email Dataset
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Infographics
- <img src="https://i.imgur.com/0OoLaa5.png" width="150" /> - differences-of-a-data-scientist-vs-data-engineer) |
- <img src="https://cloud.githubusercontent.com/assets/182906/19517857/604f88d8-960c-11e6-97d6-16c9738cb824.png" width="150" />
- <img src="https://i.imgur.com/W2t2Roz.png" width="150" />
- <img src="https://i.imgur.com/rb9ruaa.png" width="150" /> - a-data-scientist/). |
- <img src="https://i.imgur.com/XBgKF2l.png" width="150" />
- <img src="https://i.imgur.com/l9ZGtal.jpg" width="150" />
- <img src="https://i.imgur.com/TWkB4X6.png" width="150" />
- <img src="https://i.imgur.com/gtTlW5I.png" width="150" />
- <img src="https://scikit-learn.org/stable/_static/ml_map.png" width="150" />
- <img src="https://i.imgur.com/3JSyUq1.png" width="150" />
- <img src="https://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/). |
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Comics
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-
Other Awesome Lists
-
Comics
- lists
- Data Science IPython Notebooks.
- Machine Learning for Software Engineers
- 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 Monte Carlo Tree Search
- 100 NLP Papers
- Data Science Interviews Questions
- Awesome Explainable Graph Reasoning
- Awesome Drug Synergy, Interaction and Polypharmacy Prediction
- awesome-awesomeness
- Awesome Machine Learning
- awesome-python
- awesome-r
- awesome-datasets
- awesome-Machine Learning & Deep Learning Tutorials
- Awesome Data Science Ideas
- Community Curated Data Science Resources
- Awesome Game Datasets
- Top Data Science Interview Questions
- Deep Learning Interview Questions
- Glossary of common statistics and ML terms
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Hobby
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-
Socialize
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Twitter Accounts
- Domino Data Lab
- Drew Conway
- DJ Patil
- Big Data Combine - fire, live tryouts for data scientists seeking to monetize their models as trading strategies |
- Big Data Science
- Chris Said
- Clare Corthell
- DADI Charles-Abner
- Data Science Central
- Data Science London
- Data Science Renee
- Data Science Report
- Data Science Tips
- Data Vizzard
- DataScienceX
- Erin Bartolo - -enjoying a love/hate relationship with its hype. @iSchoolSU #DataScience Program Mgr. |
- Greg Reda
- Gregory Piatetsky - founder, was Chief Scientist at 2 startups, part-time philosopher. |
- Hadley Wickham
- Hakan Kardas
- Hilary Mason
- Jeff Hammerbacher
- John Myles White
- Juan Miguel Lavista
- Julia Evans - Pandas - Data Analyze |
- Kenneth Cukier - author of Big Data (http://www.big-data-book.com/). |
- Kevin Markham
- Kim Rees
- Kirk Borne
- Luis Rei
- Matt Harrison - stack Python guy, author, instructor, currently playing Data Scientist. Occasional fathering, husbanding, organic gardening. |
- Matthew Russell
- Monica Rogati - gamer, ex-machine coder; namer. |
- Noah Iliinsky
- Paul Miller
- Peter Skomoroch
- Prash Chan
- Quora Data Science
- R-Bloggers
- Rand Hindi
- Randy Olson
- Recep Erol
- Ryan Orban
- Sean J. Taylor
- Silvia K. Spiva
- Harsh B. Gupta
- Spencer Nelson
- Talha Oz
- Tasos Skarlatidis - source. |
- Terry Timko
- Tony Baer
- Tony Ojeda - founder @DataCommunityDC. Founder @DistrictDataLab. #DataScience #BigData #DataDC |
- Vamshi Ambati
- Wes McKinney
- WileyEd - @Seagate Big Data Analytics @McKinsey Alum #BigData + #Analytics Evangelist #Hadoop, #Cloud, #Digital, & #R Enthusiast |
- WNYC Data News Team - driven journalism, making it visual and showing our work. |
- Alexey Grigorev
- Mert Nuhoğlu
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Facebook Accounts
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Telegram Channels
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GitHub Groups
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Data Science Competitions
-
Slack Communities
-
-
What is Data Science?
- The sexiest job of 21st century
- Wikipedia - disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data._ |
- How to Become a Data Scientist
- a very short history of #datascience - -computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms._ |
- What is Data Science @ Quora
-
Where do I Start?
- Scikit-Learn - purpose data science package which implements the most popular algorithms - it also includes rich documentation, tutorials, and examples of the models it implements. Even if you prefer to write your own implementations, Scikit-Learn is a valuable reference to the nuts-and-bolts behind many of the common algorithms you'll find. With [Pandas](https://pandas.pydata.org/), one can collect and analyze their data into a convenient table format. [Numpy](https://numpy.org/) provides very fast tooling for mathematical operations, with a focus on vectors and matrices. [Seaborn](https://seaborn.pydata.org/), itself based on the [Matplotlib](https://matplotlib.org/) package, is a quick way to generate beautiful visualizations of your data, with many good defaults available out of the box, as well as a gallery showing how to produce many common visualizations of your data.
-
Real World
-
Disaster
- deprem-ml - sourced [afet.org](https://afet.org).
-
Programming Languages
Categories
Sub Categories
Bloggers
92
Deep Learning Packages
77
Miscellaneous Tools
74
Books
61
Twitter Accounts
58
Datasets
46
Journals, Publications and Magazines
34
MOOC's
33
General Machine Learning Packages
29
Comics
28
Podcasts
22
YouTube Videos & Channels
17
Tutorials
13
Colleges
13
Infographics
13
Algorithms
11
Free Courses
10
Facebook Accounts
5
Telegram Channels
3
Data Science Competitions
3
Newsletters
2
Presentations
2
Slack Communities
1
Intensive Programs
1
Hobby
1
GitHub Groups
1
Disaster
1
Keywords
machine-learning
72
deep-learning
52
python
40
data-science
35
pytorch
22
tensorflow
20
neural-network
12
keras
12
scikit-learn
12
reinforcement-learning
10
ml
10
artificial-intelligence
10
data-analysis
8
neural-networks
7
ai
7
computer-vision
7
mlops
6
deeplearning
5
nlp
5
image-processing
5
awesome
5
numpy
5
awesome-list
5
jupyter-notebook
5
machine-learning-algorithms
4
object-detection
4
reproducibility
4
dataset
4
classifier
4
developer-tools
4
node-embedding
4
network-science
4
explainable-ml
4
hyperparameter-optimization
4
machinelearning
4
explainable-ai
4
random-forest
4
pandas
4
spark
4
jupyter
4
graph-embedding
4
data-mining
4
network-embedding
4
graph-convolutional-networks
3
automl
3
deepwalk
3
feature-engineering
3
gradient-boosting
3
graph-neural-networks
3
networkx
3