NeuralProphet: A simple forecasting package
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Updated
Sep 4, 2024 - Python
NeuralProphet: A simple forecasting package
Jupyter Notebooks Collection for Learning Time Series Models
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
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…
Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet
A general purpose multivariate forecasting algorithm built using pytorch
(finished) S1 Skripsi UGM | forecasting USD | RNN and UKF
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.
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
Predecitve model for Stock Return forecast (future prediction) for FTS100 Tech-Mark Series (top technical firms) in UK listed on London Stock Exchange
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/
Analysis and forecasting monthly Atmospheric Carbon Dioxide Emissions from March, 1951 to December, 2021 Analysis and Computing done in R studio software
Machine Learning Competition by BUYAK
Built a model to predict the Sales of a store
This repository is dedicated to the group project for the Time Series and Forecasting exam.
A comparison of time-series forecasting models on a weekday-only data using StatsForecast library.
Conducting Market Forecasting using Excel with different modeling algorithms.
Forecasting problem for Sales of a Plastic manufacturer
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