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
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Hierarchical Time Series Forecasting with a familiar API
Input Output Hidden Markov Model (IOHMM) in Python
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Learning Data Science
Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets
Evaluations and experiments with time series models
output the results of multiple models with stars and export them as a excel/csv file.
Exercícios do curso "Profissao: Cientista de Dados", sendo realizado pela EBAC - Escola Britânica de Artes Criativas e Tecnologia.
Automated the process of training time-series data with multiple Machine Learning and Stats Models to output the most accurate forecast result
pairs trading bot
Supporting material for the Open Risk Academy course "Exploratory Data Analysis using Pandas, Seaborn and Statsmodels"
Stock price prediction models for alpaca.markets
Stepwise regression fits a logistic regression model in which the choice of predictive variables is carried out by an automatic forward stepwise procedure.
Forecast Exchange rates between 2 given currencies using data from the past 2 months
Python package for Scailable uploads
A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset.
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