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
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Socialize
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Twitter Accounts
- 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
- 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
- İlker Arslan
- INEVITABLE - up Company based in England, UK |
- Hadley Wickham
- Recep Erol
- Tony Baer
- Jan Oliver Rüdiger - with a focus on text-/data-mining |
- Mert Nuhoğlu
- Prash Chan
- Kevin Markham
- R-Bloggers
- Randy Olson
- Harsh B. Gupta
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Sponsors
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The Data Science Toolbox
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Algorithms
- Stacking
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
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Comparison
- Regression
- Linear Regression
- Ordinary Least Squares
- Logistic Regression
- Stepwise Regression
- Multivariate Adaptive Regression Splines
- Softmax Regression
- Locally Estimated Scatterplot Smoothing
- KNN (K-Nearest Neighbors)
- SVM (Support Vector Machine)
- Decision Trees
- ID3 algorithm
- C4.5
- Ensemble Learning
- Boosting
- Bagging
- Random Forest
- AdaBoost
- Density-based clustering
- Fuzzy clustering
- Mixture models
- Dimension Reduction
- Latent Dirichlet Allocation (LDA)
- Neural Networks
- Self-Organized Maps
- Adaptive resonance theory
- Hidden Markov Models (HMM)
- Heuristic approaches
- Q Learning
- SARSA (State-Action-Reward-State-Action) algorithm
- Temporal difference learning
- k-Means
- Apriori
- EM (Expectation-Maximization)
- PageRank
- Naive Bayes
- CART (Classification and Regression Trees)
- Multilayer Perceptron
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Boltzmann Machines
- Autoencoder
- Generative Adversarial Network (GAN)
- Transformer
- Conditional Random Field (CRF)
- ML System Designs)
- datacompy - DataComPy is a package to compare two Pandas DataFrames.
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- Conditional Random Field (CRF)
- t-SNE; t-distributed Stochastic Neighbor Embedding
- XGBoost (Extreme Gradient Boosting)
- LightGBM (Light Gradient Boosting Machine)
- CatBoost
- HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise)
- FP-Growth (Frequent Pattern Growth Algorithm)
- Isolation Forest
- Deep Embedded Clustering (DEC)
- TPU (Top-k Periodic and High-Utility Patterns)
- Context-Aware Rule Mining (Transformer-Based Framework)
- Stacking
- Conditional Random Field (CRF)
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Deep Learning Packages
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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
59
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
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machine-learning-algorithms
4
cli
4
optimization
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open-source
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