#计算机科学#Lightning ⚡️ fast forecasting with statistical and econometric models.
#计算机科学#NeuralProphet: A simple forecasting package
#计算机科学#Streamlit app to train, evaluate and optimize a Prophet forecasting model.
#时序数据库#If you can measure it, consider it predicted
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
#计算机科学#Hierarchical Time Series Forecasting with a familiar API
#计算机科学#Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Time Series Analysis and Forecasting in Python
#时序数据库#A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
#计算机科学#This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
#计算机科学#deploying an ML model to Heroku with FastAPI
A group project for CMPE272 at SJSU
#时序数据库#In this project two models are build a Multivariate CNN-LSTM model using keras and tensorflow, ARIMA model, and FbProphet. In multivariate CNN-LSTM five feature are given as a input to the model and ...
#时序数据库#Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
Gold Analysis, Trading Strategy, Backtesting, Prediction, and Communication (Email and Telegram notification chatbot) in Python
This project seeks to utilize the Deep Learning model, Long-Short Term Memory (LSTM) Neural Network algorithm, Time Series Models, ARIMA and FBProphet to predict stock prices.
#时序数据库#A Project that uses Zillow research data on Quandl, Prophet for time series forecasting, Altair for vega-lite charts and Folium for an creating interactive map.
Project to predict stock prices with Recurrent Neural Network in TensorFlow with client input as web application (with Flask).