#计算机科学#Lightning ⚡️ fast forecasting with statistical and econometric models.
#计算机科学#NeuralProphet: A simple forecasting package
翻译 - NeuralProphet - a Neural Network based Time-Series model
#自然语言处理#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.
Price calculator/predictor for Turnip prices
翻译 - 萝卜价格的价格计算器/预测器
#时序数据库#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.
#计算机科学#Modeltime unlocks time series forecast models and machine learning in one framework
#计算机科学#Streamlit app to train, evaluate and optimize a Prophet forecasting model.
(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
#时序数据库#A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
#区块链#CryptoCurrency prediction using machine learning and deep learning
Book and material for the course "Time series analysis with Python" (STA-2003)
A multiverse of Prophet models for timeseries
#时序数据库#Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=prophet)
Time Series Forecasting for the M5 Competition
#计算机科学#Time Series Analysis project with Prophet.
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
#时序数据库#Shiny app for Price Optimization using prophet and lme4 libraries for R.