Apply SARIMA model to predict the numbers of tourist visiting Brazil in the future 12 months

Time Series Prediction of Stock Market Trends

The aim of project was to make an app using shiny and R programming to predict the stock prices of various companies for the next 5 days using neural networks and arima model.

Covid-19 data processing, training, prediction and validation

This repository holds 2 Jupyter notebooks and one csv file on Time Series analysis for the A Yen for the Future exercises. The purpose of this code is to demonstrate understanding of time series work in Python: ARMA, ARIMA and related concepts.

This notebook attempts to perform time-series forecasting using ARIMA and LSTM.

Supporting code for my project on modeling the number of positive Covid19 cases in the USA from April 2020 to March 2021 using Time Series models using R programming

Air Quality in Nairobi (Based on PM2.5 index)- A Time Series Analysis Projects - Building ARIMA ML Model. In this project, I work with data from one of Africa’s largest open data platforms openAfrica https://africaopendata.org/ .I’ll look at air quality data from Nairobi, Lagos, and Dar es Salaam; and build a time seriesmodel to predict PM 2.5 r…

Trabajo Final de Herramientas Econométricas - Doctorado en Economía UCA 2022

The study investigates the correlation between air pollution and Central Nervous System (CNS) disease mortality in Italy, focusing on neurodegenerative diseases such as Alzheimer's and Parkinson's.

Predicting JOLTS data with Real GDP as input variable using ARIMA Model

Predicting google stock for next 10 days, evaluating which model (ARIMA or SARIMA) gives more accurate results.

Test own side project to Predict CSGO future count player using ARIMA model

Airline Passengers Forecasting

In this project, we'll analyse data from italian stock market for bank stocks.

Time series refers to a sequence of data points collected or recorded in a chronological order.

Rust library for time series modelling and forecasting