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Statsmodels: statistical modeling and econometrics in Python
Created
2011-06-12
15,351 commits to main branch, last one 12 days ago
Enhancing {ggplot2} plots with statistical analysis 📊📣
Created
2018-01-08
2,028 commits to main branch, last one 18 days ago
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Created
2020-01-07
918 commits to dev branch, last one 2 months ago
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Created
2018-08-27
260 commits to master branch, last one about a year ago
:milky_way: The R easystats-project
Created
2019-01-28
1,207 commits to main branch, last one 4 days ago
BAyesian Model-Building Interface (Bambi) in Python.
Created
2016-05-16
809 commits to main branch, last one 11 days ago
Presentation-Ready Data Summary and Analytic Result Tables
Created
2019-02-27
1,850 commits to main branch, last one 7 months ago
Curso de Introducción a Machine Learning con Python
Created
2018-03-20
65 commits to master branch, last one 3 years ago
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Created
2016-08-29
2,186 commits to master branch, last one 20 days ago
Machine Learning notebooks for refreshing concepts.
python
deep-learning
data-processing
neural-networks
machine-learning
model-evaluation
regression-models
clustering-methods
classification-trees
data-science-notebook
deep-learning-tutorial
reinforcement-learning
python-machine-learning
deep-learning-algorithms
dimensionality-reduction
machine-learning-tutorials
machine-learning-algorithms
natural-language-processing
Created
2017-10-30
117 commits to master branch, last one 5 years ago
:bar_chart: Computation and processing of models' parameters
Created
2019-02-09
5,145 commits to main branch, last one 3 days ago
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
Created
2018-10-30
1,114 commits to master branch, last one 26 days ago
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
python
big-data
regression
100daysofcode
deep-learning
hacktoberfest
classification
github-actions
linear-algebra
100daysofmlcode
neural-networks
machine-learning
linear-regression
regression-models
clustering-algorithm
polynomial-regression
artificial-intelligence
classification-algorithm
artificial-neural-networks
scikitlearn-machine-learning
Created
2020-01-11
452 commits to master branch, last one 20 days ago
The foundational library of the Morpheus data science framework
Created
2017-06-28
97 commits to master branch, last one 5 years ago
Now you can get Flight ticket fare with this wonderful end to end project.
Created
2020-07-03
10 commits to master branch, last one 3 years ago
Effect size measures and significance tests
Created
2016-05-20
869 commits to master branch, last one 22 days ago
Python implementation of the R stargazer multiple regression model creation tool
Created
2018-06-25
158 commits to master branch, last one 8 days ago
The repository provides usefull python scripts for ML and data analysis
Created
2016-03-17
185 commits to master branch, last one 4 months ago
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal...
Created
2018-12-05
515 commits to master branch, last one 10 months ago
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation det...
Created
2019-12-16
196 commits to master branch, last one about a year ago
A statistical framework that serves as a common interface to a large range of models
Created
2013-12-05
984 commits to master branch, last one 6 months ago
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
Created
2024-01-16
61 commits to main branch, last one about a month ago
A Python library for moderation, mediation and conditional process analysis.
Created
2017-03-06
50 commits to master branch, last one 2 years ago
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Created
2016-12-10
69 commits to master branch, last one 2 years ago
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Created
2019-08-27
165 commits to dev branch, last one 8 months ago
Website sources for Applied Machine Learning for Tabular Data
Created
2023-11-20
53 commits to main branch, last one 2 days ago
Utilities for glmnet
Created
2015-03-31
106 commits to master branch, last one 9 months ago
MachineShop: R package of models and tools for machine learning
Created
2018-09-25
1,387 commits to master branch, last one 8 months ago
Model verification, validation, and error analysis
Created
2017-11-10
534 commits to master branch, last one 7 months ago
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
Created
2023-06-01
44 commits to main branch, last one 10 months ago