forecasting-algorithm 开源项目推荐（27 个）

ourownstory /neural_prophet

NeuralProphet: A simple forecasting package

quantsense /TimeSeries_Notebooks_Collections

Jupyter Notebooks Collection for Learning Time Series Models

Protik49 /Probabilistic-Time-Series-Forecasting

Learn about Probabilistic Time Series Forecasting, its key techniques, real-world applications, and advantages over traditional forecasting methods.

hpi-sam /GNN-SpaceTimeGraphs

Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets

RizwanMunawar /trajectory-forcast

Forecast where tracked objects will move next. A lightweight extension to Ultralytics YOLO that adds Kalman-filtered trajectory prediction; stable, low-jitter, and efficient for real-time systems.

pushkarsaini18 /Gold-Price-forecasting

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the diff…

MfaXyz /Simple-Forecaster-Using-NeuralProphet

Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet

mwasifanwar /energyforecast-ai

AI system for energy demand forecasting and grid optimization. Uses time series analysis and weather data to predict energy consumption, optimize renewable energy integration, and prevent grid failures.

rulisastra /UnscentedKalmanFilter_RecurrentNeuralNetwork

(finished) S1 Skripsi UGM | forecasting USD | RNN and UKF

abdullahsaka /BUYAK_Data-Analytics_Challenge

Machine Learning Competition by BUYAK

Thesineo /Stock_Return_Forecasting_Models_for_Investment_Decisions

The UK Tech sector holds a market capitalisation of £860 billion, making it the third largest globally. Accurate forecasting of stock returns for FTSE TechMark listed firms is essential for investors to make precise investment decisions. This study comparatively evaluates ARIMA and GJR-GARCH(1,1) models across 10 top UK technical firms listed on th

Howeng98 /DSAI_HW4

该项目在 GitHub 上没有填写描述

MarinaMoreno /Forecasting-sales

This repository contains an ML project that was approached with a business mindset from the beginning to the end. It addresses the problem of forecasting.

nishantdalvi05 /Forecasting

Forecasting is a technique that uses historical data as inputs to make informed estimates that are predictive in determining the direction of future trends. Businesses utilize forecasting to determine how to allocate their budgets or plan for anticipated expenses for an upcoming period of time

kevinmf1 /forecasting-regresi-linear

Forecasting using simple linear regression method, case study forecasting the number of visitors to a mall. Demo: https://kevinmalikfajar.alwaysdata.net/forecasting-regresi-linear-sederhana/

ashleyson /MaunaLoa-CO2Emissions-TimeSeriesAnalysis

Analysis and forecasting monthly Atmospheric Carbon Dioxide Emissions from March, 1951 to December, 2021 Analysis and Computing done in R studio software

a416a /FAANG-Stock-Market-Intelligence-Dashboard-Live-Financial-Analytics-with-R-Shiny

An end-to-end financial analytics and forecasting platform built with R and Shiny. This project automatically retrieves the latest FAANG stock market data from Yahoo Finance, performs data cleaning, exploratory analysis, technical indicator calculations

DeepWazed /occuFormer

occuFormer

jasp9559 /Plastic-Sales-Forecasting-with-Python-and-R

Forecasting problem for Sales of a Plastic manufacturer

mhicoayala /volume_forecast

A comparison of time-series forecasting models on a weekday-only data using StatsForecast library.