A general purpose multivariate forecasting algorithm built using pytorch

Jupyter Notebooks Collection for Learning Time Series Models

Conducting Market Forecasting using Excel with different modeling algorithms.

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

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

Machine Learning Competition by BUYAK

Forecasting problem for Sales of a Plastic manufacturer

Trying the Temporal Fusion Transformer model for forecasting Renewable energy.

Evaluation and review of various popular Auto Time Series Algorithms - Fbprophet, DART and PyCaret

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

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

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/

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

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

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.

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.

Predecitve model for Stock Return forecast (future prediction) for FTS100 Tech-Mark Series (top technical firms) in UK listed on London Stock Exchange