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The Top 23 Python Machine Learning Statistics Open Source Projects

Open source projects categorized as Python Machine Learning Statistics
Categories > Machine Learning > Machine Learning
Categories > Data Processing > Statistics
Renko_trend_following_strategy_catalyst ⭐ 37
Example of adaptive trend following strategy based on Renko
most recent commit 5 years ago
Data Science And Machine Learning Resources ⭐ 37
List of Data Science and Machine Learning Resource that I frequently use
most recent commit 7 months ago
Ktboost ⭐ 36
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
total releases 46most recent commit 2 years ago
Eng. Mohamed Hammad Ai Recommendations ⭐ 35
The repo contains books, tutorials and resources based on Eng Mohammed Hammad's recommendations.
most recent commit a year ago
Confounds ⭐ 35
Conquering confounds and covariates in machine learning
dependent packages 1total releases 6most recent commit a year agopypi confounds} Downloads
Bbai ⭐ 33
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
total releases 11most recent commit 8 months ago
Fastauc ⭐ 33
Three fast ROC AUC calculation implementations for python
most recent commit 9 months ago
Astrostatistics_bicocca_2023 ⭐ 32
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
most recent commit 4 months ago
Liesel ⭐ 31
A probabilistic programming framework
total releases 12most recent commit 4 months ago
Ml Stat Util ⭐ 30
Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers
most recent commit 2 years ago
Complete Data Science Roadmap ⭐ 29
Complete Roadmap For Data Science
most recent commit 5 months ago
Model Validation Toolkit ⭐ 29
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
most recent commit 5 months ago
Rahul_raoniar_blogs ⭐ 28
Contains code and data for "The Researchers' Guide" Medium blogs
most recent commit a year ago
Py Soft Impute ⭐ 28
Python implementation of Mazumder and Hastie's softImpute for matrix completion
most recent commit 9 years ago
Kscore ⭐ 27
Nonparametric Score Estimators, ICML 2020
most recent commit 3 years ago
Kalmanpy ⭐ 27
Implementation of Kalman Filter in Python
most recent commit 3 years ago
Data Analyst Nanodegree ⭐ 26
Kai Sheng Teh - Udacity Data Analyst Nanodegree
most recent commit 6 years ago
Mathematics For Machine Learning And Data Science Specialization ⭐ 25
Non-credit online course by DeepLearning.AI
most recent commit 4 months ago
Devml ⭐ 25
Product of Pragmatic AI Labs: Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity
total releases 5most recent commit 10 months ago
Yaglm ⭐ 24
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
most recent commit 2 years ago
Osm Data Classification ⭐ 24
OpenStreetMap Data Classification
most recent commit 5 years ago
Machine Learning For Economic Analysis ⭐ 23
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
most recent commit 2 years ago
Disentangled Attribution Curves ⭐ 23
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
most recent commit 3 years ago
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