Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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• Updated Aug 3, 2024
• Python

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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• Updated Jan 2, 2024
• Python

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

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• Updated Nov 19, 2024
• Jupyter Notebook

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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• Updated Mar 31, 2024
• Jupyter Notebook

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

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• Updated Sep 18, 2022
• Jupyter Notebook

📜 🎉 Automated reporting of objects in R

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• Updated Nov 5, 2026
• R

Horizontal Pod Autoscaler built with predictive abilities using statistical models

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• Updated Oct 11, 2023
• Go

Time Series Analysis and Forecasting in Python

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• Updated Jul 19, 2026
• Jupyter Notebook

Hierarchical Time Series Forecasting with a familiar API

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• Updated May 12, 2023
• Python

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

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• Updated Jan 31, 2024
• Python

Input Output Hidden Markov Model (IOHMM) in Python

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• Updated May 23, 2026
• Python

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

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• Updated Feb 21, 2024
• Python

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

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• Updated Aug 21, 2024
• HTML

Time Series Analysis with Python Cookbook, Second Edition - Published by Packt

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• Updated Feb 12, 2026
• Jupyter Notebook

Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.

python statistics time-series pandas statsmodels

• Updated Aug 8, 2026
• Jupyter Notebook

Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs

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• Updated Jun 20, 2026
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Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta

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• Updated Nov 16, 2022
• Jupyter Notebook

Time Series Decomposition techniques and random forest algorithm on sales data

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• Updated Apr 29, 2022
• Jupyter Notebook

Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning

redis data-science machine-learning text-mining sql mongodb sklearn network-science pandas pytorch spacy neural-networks financial-data statsmodels sec-edgar tick-data fred-api taq quant-factors

• Updated Apr 6, 2025
• Python

Implemented an A/B Testing solution with the help of machine learning

python sklearn xgboost statsmodels

• Updated Sep 24, 2021
• Jupyter Notebook