NeuralProphet: A simple forecasting package

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• Updated Oct 27, 2026
• Python

Jupyter Notebooks Collection for Learning Time Series Models

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• Updated Nov 3, 2019
• Jupyter Notebook

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

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• Updated Mar 10, 2025

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

graph-convolutional-networks spatio-temporal-data graph-neural-networks forecasting-algorithm traffic-forecasting traffic-graphs

• Updated Mar 22, 2021
• Jupyter Notebook

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.

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• Updated Nov 7, 2026
• Python

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…

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• Updated Aug 12, 2024
• Jupyter Notebook

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

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• Updated Nov 10, 2022
• Jupyter Notebook

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.

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• Updated Nov 7, 2025
• Python

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

python forecasting rnn ukf forecasting-algorithm

• Updated Mar 7, 2021
• Python

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

machine-learning-algorithms stock-price-prediction arima-forecasting forecasting-algorithm predective-modeling garch-modeling

• Updated Mar 24, 2026

Machine Learning Competition by BUYAK

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• Updated Jun 27, 2021
• Jupyter Notebook

python forecasting market-basket-analysis market-basket-optimization forecasting-algorithm market-basket-model market-basket-recommender

• Updated Jun 22, 2021
• Jupyter Notebook

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.

machine-learning forecast forecasting business-solutions forecasting-models sales-analysis forecasting-algorithm forecasting-sales

• Updated Apr 15, 2024
• Jupyter Notebook

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

python data-science machine-learning-algorithms jupyter-notebook forecasting-algorithm

• Updated Feb 23, 2023
• Jupyter Notebook

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/

php linear-regression forecasting source-code forecasting-model forecasting-algorithm forecasting-regression-models regresi-linear

• Updated Dec 22, 2022
• PHP

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

r data-visualization stock-market forecasting data-analysis shiny-apps financial-analysis shinydashboard forecasting-models stock-analysis forecasting-algorithm

• Updated Jul 27, 2026
• R

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

forecasting-algorithm

• Updated Dec 5, 2022

occuFormer

deep-learning probabilistic-models occupancy-prediction forecasting-algorithm sngp

• Updated Jul 27, 2026
• Shell

Forecasting problem for Sales of a Plastic manufacturer

python data-science data machine-learning time-series analytics forecasting r-language forecasting-algorithm plastic-sales

• Updated Jul 4, 2021
• R

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

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• Updated Apr 2, 2023
• Jupyter Notebook