awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
https://github.com/academic/awesome-datascience
Last synced: 5 days ago
JSON representation
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Literature and Media
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Presentations
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YouTube Videos & Channels
- What is machine learning?
- Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
- Data36 - Data Science for Beginners by Tomi Mester
- 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)
- Google DeepMind co-founder Shane Legg - Machine Super Intelligence
- Data Science Primer
- Data Science with Genetic Algorithms
- Data Science for Beginners
- DataTalks.Club
- mlops.community - Interviews of industry experts about production ML
- ML Street Talk - Unabashedly technical and non-commercial, so you will hear no annoying pitches.
- Neural networks from scratch by Sentdex
- Manning Publications YouTube channel
- 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
- Deep Learning Architectures
- Time Series Modelling and Analysis
- CampusX
- Data Science Primer
- Data Science for Beginners
- Neural networks by 3Blue1Brown
- 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
- Deep Learning Architectures
- Time Series Modelling and Analysis
- Serrano.Academy
- End to End Data Science Playlist
- Introduction to Data Science - Linkedin
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Other Awesome Lists
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Comics
- 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
- Top Future Trends in Data Science in 2023
- How Generative AI Is Changing Creative Work
- What is generative AI?
- Deep Learning Interview Questions
- Glossary of common statistics and ML terms
- Deep Learning Interview Questions
- lists
- awesome-dataviz
- 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 Computer Vision Models
- Awesome Monte Carlo Tree Search
- 100 NLP Papers
- Data Science Interviews Questions
- Awesome Explainable Graph Reasoning
- Awesome Drug Synergy, Interaction and Polypharmacy Prediction
- Top 100+ Machine Learning Interview Questions (Beginner to Advanced)
- Data Science Projects
- Is Data Science a Good Career?
- The Future of Data Science: Predictions and Trends
- Data Science and Machine Learning: What’s The Difference?
- AI in Data Science: Uses, Roles, and Tools
- Top 13 Data Science Programming Languages
- 40+ Data Analytics Projects Ideas
- Best Data Science Courses with Certificates
- Generative AI Models
- Awesome Data Analysis - A curated list of data analysis tools, libraries and resources.
- Awesome Evidence Synthesis - A curated list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis.
- AI Dev Jobs - Job board focused on AI/ML engineering roles with 5,400+ listings and a free REST API.
- ML/AI Interview Prep - 500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design
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Hobby
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Real World
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Disaster
- deprem-ml - sourced [afet.org](https://afet.org).
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Socialize
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Data Science Competitions
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Facebook Accounts
- Data
- Big Data Scientist
- 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
- Data Science Day
- 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
- Veri Bilimi Istanbul
- The Data Science Blog
- Big Data Scientist
- Data Science Day
- Data Science Academy
- Data Science Technology and Corporation
- Center for Data Science
- Vademecum of Practical Data Science
- The Data Science Blog
- Data Science Day
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GitHub Groups
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Slack Communities
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Telegram Channels
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Twitter Accounts
- 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
- DJ Patil
- Domino Data Lab
- Drew Conway
- 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
- Mert Nuhoğlu
- Monica Rogati - gamer, ex-machine coder; namer. |
- Noah Iliinsky
- Paul Miller
- Peter Skomoroch - Principal Data Scientist @LinkedIn. Machine Learning, ProductRei, Networks |
- 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
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Programming Languages
Categories
Sub Categories
Miscellaneous Tools
137
Bloggers
123
Deep Learning Packages
90
Books
84
Datasets
80
Comparison
76
Twitter Accounts
73
Comics
50
MOOC's
45
YouTube Videos & Channels
42
Facebook Accounts
41
Journals, Publications and Magazines
41
General Machine Learning Packages
38
Podcasts
33
Algorithms
28
Tutorials
25
Free Courses
22
Colleges
20
Infographics
15
Presentations
11
Data Science Competitions
6
Tools
4
Research & Knowledge Retrieval
4
Newsletters
4
Telegram Channels
3
Intensive Programs
2
Workflow
2
Hobby
1
Mailing lists
1
GitHub Groups
1
Slack Communities
1
Disaster
1
Frameworks
1
Keywords
machine-learning
86
python
59
deep-learning
58
data-science
50
pytorch
26
tensorflow
21
scikit-learn
13
keras
13
ml
12
data-analysis
12
neural-network
11
reinforcement-learning
11
artificial-intelligence
10
mlops
10
ai
9
data-visualization
9
numpy
8
computer-vision
8
hyperparameter-optimization
7
object-detection
7
awesome-list
7
gradient-boosting
7
neural-networks
7
llm
6
data-mining
6
jupyter
6
pandas
6
r
6
jupyter-notebook
6
data
5
pipeline
5
workflow
5
image-processing
5
big-data
5
spark
5
nlp
5
explainable-ai
5
explainable-ml
5
awesome
5
dataset
5
cli
4
classifier
4
gpu
4
data-engineering
4
node-embedding
4
feature-engineering
4
random-forest
4
network-embedding
4
graph-embedding
4
machine-learning-algorithms
4