awesome-datascience
An awesome Data Science repository to learn and apply for real world problems.
https://github.com/eric-erki/awesome-datascience
Last synced: 3 days ago
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Other Awesome Lists
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Free Courses
- awesome-r
- awesome-Machine Learning & Deep Learning Tutorials
- 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
- Glossary of common statistics and ML terms
- 100 NLP Papers
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Podcasts
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Presentations
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Telegram Channels
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Toolboxes - Environment
- 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
- 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
- Sense Data Science Development Platform
- Datadog - scale data science.
- Variance
- Kite Development Kit
- Domino Data Labs
- 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
- 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
- Polyaxon - A platform for reproducible and scalable machine learning and deep learning.
- LightTag - Text Annotation Tool for teams
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Tutorials
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Twitter Accounts
- deeplearning4j
- Linda Regber - Data story teller, visualizations.
- Mert Nuhoğlu
- Prash Chan - Solution Architect @ IBM, Master Data Management, Data Quality & Data Governance Blogger. Data Science, Hadoop, Big Data & Cloud.
- Recep Erol - Data Science geek @ UALR
- Tony Baer - IT analyst with Ovum covering Big Data & data management with some systems engineering thrown in.
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Visualization Tools - Environments
- 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
- plot.ly
- raw
- rcharts
- techanjs
- tenxer
- Timeline
- variancecharts
- vida
- Wrangler
- r2d3
- Redash
- C3 - D3-based reusable chart library
- TensorWatch - Debugging and visualization for data science and machine learning
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What is Data Science?
- What is Data Science @ O'reilly
- The sexiest job of 21st century
- What is data science
- 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
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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?
- 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
Categories
Bloggers
63
Data Sets
43
Toolboxes - Environment
41
Visualization Tools - Environments
36
Books
22
Other Awesome Lists
19
MOOC's
17
COLLEGES
13
Youtube Videos & Channels
10
Journals, Publications and Magazines
10
What is Data Science?
9
Podcasts
9
Facebook Accounts
9
Infographic
7
Tutorials
6
Twitter Accounts
6
Competitions
6
Telegram Channels
3
Motivation
2
Comics
1
Presentations
1
Newsletters
1
Sub Categories
Keywords
machine-learning
11
data-science
11
deep-learning
9
python
7
awesome
4
awesome-list
4
jupyter
4
tensorflow
3
scikit-learn
3
jupyter-notebook
3
classifier
3
r
3
random-forest
3
data-analysis
3
gradient-boosting
3
lightgbm
2
pytorch
2
node2vec
2
gradient-boosting-machine
2
xgboost
2
data-mining
2
catboost
2
classification-trees
2
notebook
2
classification-algorithm
2
decision-tree
2
graph-classification
2
reinforcement-learning
2
spark
2
deepwalk
2
artificial-intelligence
2
pandas
2
numpy
2
matplotlib
2
data-visualization
2
kubernetes
2
keras
2
caffe
2
big-data
2
igraph
1
matrix-factorization
1
network-analysis
1
network-clustering
1
network-science
1
attention-mechanism
1
unsupervised-learning
1
social-network
1
networkx
1
deep-graph-kernels
1
graph-attention-model
1