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

Time Series Prediction of Stock Market Trends

Covid-19 data processing, training, prediction and validation

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

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

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

Honours Dissertation Resources

Predicting the sales of a particular product in the year 2019 provided the sales of the same item from the year 2014-18. Improvements required(need some suggestions)

Forecast (Australian monthly gas production) for the next 12 periods. Developed an ARIMA and AUTO ARIMA Model to forecast for next 12 periods.

This respiratory provides pre-processed Chicago Crime data along with the code that predicts the future Crime Rates using an ARIMA model.

Forecasted with Time Series Analysis and Regression for a potential outlook on the volatility of the yen. For the regression analysis, the preparation of the data required lagging returns, and after was used for a Linear Regression model. As for the Time Series Analysis, a Hodrick-Prescott filter was used which was followed by ARMA and ARIMA for…

By Using Statistical Model ( ARIMA ) to Predict the Quantity Demand in future

Predicting the value of an obfuscated metric relevant for making trading decisions.

Modelos de Previsão de COVID-19 de Machine Learning no Brasil por Regressão Logística de Prophet e Modelo ARIMA com Python e Jupyter - [Pandas, Numpy, Datetime, Plotly.Express, Plotly.Graph_Objects, Matplotlib, Seasonal_Decompose, Prophet & ARIMA]

This project involves time series forecasting through EDA and uses ARIMA and SARIMA models. The goal is to analyze and understand data trends, then make accurate forecasts.