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#

prophet

Here are 400 public repositories matching this topic...

neural_prophet

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.

  • UpdatedMar 31, 2024
  • Jupyter Notebook

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

  • UpdatedAug 20, 2024
  • Jupyter Notebook

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

  • UpdatedMay 6, 2024
  • Python

(陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等

  • UpdatedMar 30, 2023
  • HTML
python-time-series-handbook

Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=prophet)

  • UpdatedJun 28, 2018
  • R

A multiverse of Prophet models for timeseries

  • UpdatedMar 17, 2025
  • Python

A simple neural net implementation.

  • UpdatedJul 31, 2019
  • Rust

光伏短期功率预测大赛 代码

  • UpdatedFeb 5, 2023
  • R
mofc-demand-forecast

Time Series Forecasting for the M5 Competition

  • UpdatedOct 29, 2021
  • Jupyter Notebook

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

  • UpdatedNov 29, 2022
  • Python

Time Series Analysis project with Prophet.

  • UpdatedDec 19, 2021
  • Jupyter Notebook

Shiny app for Price Optimization using prophet and lme4 libraries for R.

  • UpdatedApr 4, 2018
  • R

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