Forest the unit sales of Walmart retail goods for the next 28 days

Built a few forecasting models to determine the demand for a particular product.

Forecasting model construction for custumer volume prediccion per each hour in two stores

My thesis proyect about NN to forecast time series

This project will show the time series analysis of Global Temperature Dataset which is from 1900 - 2013. It has been build in R programming Language..

Projeto de Redes Neurais I & Computação Evolutiva

Final activity for the Science Computing course UNIJUI PPGMMC

Market Forecasting Model powered by Fastapi. The model uses garch model to generate forecast for market volatility in India.

predicted traffic volume 15 minutes ahead by applying SARIMA and ARMAX models on traffic flow data

Machine Learning: Time series prediction and strategies on stock markets

Tiene sentido que la demanda de bicis en CDMX tenga una estacionalidad por horas del día y días de la semana. Pero ¿es posible predecir la demanda futura? ¡Claro que sí! 🚴🏾

This repo consist of predicting Air quality values like relative humidity, absolute humidity or any other features I have used forecasting method to analyze and predict

The purpose of this analysis is to observe the population trend over the years in the US and forecast the population for the next 5 years.

🌧️ Forecast the future to prepare for rainy days

STAT497 APPLIED TIME SERIES ANALYSIS term project

Machine Learning Code Gladiators 2018 - Credit Suisse ML

Repository of numerical models for pseudo-forecasting of induced and natural seismicity in the Hengill geothermal field. Developed in the framework of the COSEISMIQ project http://www.coseismiq.ethz.ch/en/home/ by Antonio P. Rinaldi, Shyam Nandan and Vanille A. Ritz

Solutions to real world machine learning problems

forecasting techniques for continuous data