Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-applied-data-science
A curated list of awesome things related to Applied Data Science
https://github.com/vanesterik/awesome-applied-data-science
Last synced: 3 days ago
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Articles
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- Understanding Data Drift and Model Drift
- A Bayesian Way of Choosing a Restaurant
- ChatGPT and Bing AI might already be obsolete, according to a new study
- Density Kernel Depth for Outlier Detection in Functional Data
- Kop of munt: puur toeval?
- Lasso Regression Fundamentals and Modeling in Python
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Principal Component Analysis
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- Untangling Why Knots Are Important
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- How To Study
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- PCA and kernel PCA explained
- Peeking inside SVM’s box of pandora
- Quadratic Programming in SVM
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- My Life Stats: I Tracked My Habits for a Year, and This Is What I Learned
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
- Mathematics for Data Science
- Running demand forecasting machine learning models at scale
- Stochastic Gradient Descent: Math and Python Code
- A Bayesian Way of Choosing a Restaurant
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Repositories
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Papers
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Books
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Clips
- Casual DAG's 101
- Frequentism and Bayesianism: What's the Big Deal?
- Gaussian Mixture Models
- How to systematically approach truth - Bayes' rule
- Maximum Likelihood, clearly explained
- Singular Value Decomposition
- The Bayesian Workflow: Building a COVID-19 Model
- The Normal Distribution, Clearly Explained
- Why do we multiply matrices the way we do?
- 10 weird algorithms
- Accept-Reject Sampling: Data Science Concepts
- Decision and Classification Trees, Clearly Explained!
- Gradient Descent, Step-by-Step
- Happy Halloween (Neural Networks Are Not Scary)
- Overview of Quadratic Programming (QP)
- ROC and AUC, Clearly Explained!
- StatQuest: Logistic Regression
- StatQuest: Random Forests Part 1 - Building, Using and Evaluating
- Stochastic Gradient Descent, Clearly Explained!!!
- Support Vector Machines Part 1 (of 3): Main Ideas!!!
- The Most Useful Curve in Mathematics
- Decision and Classification Trees, Clearly Explained!
- Gradient Descent, Step-by-Step
- Happy Halloween (Neural Networks Are Not Scary)
- Overview of Quadratic Programming (QP)
- ROC and AUC, Clearly Explained!
- StatQuest: Logistic Regression
- StatQuest: Random Forests Part 1 - Building, Using and Evaluating
- Support Vector Machines Part 1 (of 3): Main Ideas!!!
- The Bayesian Workflow: Building a COVID-19 Model
- The Most Useful Curve in Mathematics
- Accept-Reject Sampling: Data Science Concepts
- Casual DAG's 101
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Sites
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Tools
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Wikipedia
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Todo's
- x - 02-13 10:13:00)
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