awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
https://github.com/academic/awesome-datascience
Last synced: 1 day ago
JSON representation
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Literature and Media
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Podcasts
- Datacast
- DataTalks.Club
- Gradient Dissent
- Learning Machines 101
- Let's Data (Brazil)
- Linear Digressions
- Not So Standard Deviations
- O'Reilly Data Show Podcast
- Partially Derivative
- Superdatascience
- The Data Engineering Show
- The Radical AI Podcast
- The Robot Brains Podcast
- What's The Point
- Chai time Data Science
- Gradient Descent
- Let's Data (Brazil)
- Partially Derivative
- The Analytics Engineering Podcast
- Data Science Mixer
- Chain of Thought
- DataFramed
- Chai time Data Science
- DataTalks.Club
- Let's Data (Brazil)
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Presentations
- Full-Stack Data Scientist
- How to Share Data with a Statistician
- How to Become a Data Scientist
- Introduction to Data Science
- Intro to Data Science for Enterprise Big Data
- How to Interview a Data Scientist
- 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
- Full-Stack Data Scientist
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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
- Data36 - Data Science for Beginners by Tomi Mester
- CampusX
- Data Science for Beginners
- DataTalks.Club
- Mildlyoverfitted - Tutorials on intermediate ML/DL topics
- 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
- Deep Learning Architectures
- Time Series Modelling and Analysis
- Serrano.Academy
- End to End Data Science Playlist
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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
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Programming Languages
Categories
Sub Categories
Miscellaneous Tools
144
Bloggers
125
Books
97
Deep Learning Packages
92
Datasets
88
Comparison
78
Twitter Accounts
70
YouTube Videos & Channels
60
MOOC's
50
Comics
50
Journals, Publications and Magazines
42
Facebook Accounts
41
General Machine Learning Packages
40
Podcasts
36
Tutorials
29
Algorithms
28
Free Courses
24
Colleges
23
Infographics
15
Presentations
11
Data Science Competitions
5
Tools
5
Newsletters
4
Research & Knowledge Retrieval
4
Telegram Channels
3
Intensive Programs
2
Frameworks
2
Workflow
2
Mailing lists
1
Hobby
1
Slack Communities
1
GitHub Groups
1
Disaster
1
Keywords
machine-learning
86
python
60
deep-learning
58
data-science
50
pytorch
26
tensorflow
21
scikit-learn
13
data-analysis
13
keras
13
ml
12
neural-network
11
reinforcement-learning
11
mlops
10
artificial-intelligence
10
data-visualization
9
ai
9
computer-vision
8
numpy
8
llm
7
hyperparameter-optimization
7
neural-networks
7
gradient-boosting
7
awesome-list
7
object-detection
7
jupyter-notebook
6
dataset
6
data-mining
6
r
6
jupyter
6
pandas
6
explainable-ml
5
image-processing
5
explainable-ai
5
data
5
spark
5
big-data
5
awesome
5
workflow
5
nlp
5
statistics
5
pipeline
5
reproducibility
4
data-engineering
4
feature-engineering
4
scientific-computing
4
gpu
4
machine-learning-algorithms
4
cli
4
optimization
4
open-source
4