Consulting an imaginary real estate investment firm using historical housing sales price data and SARIMAX time series modeling. Flatiron Module 4 Project.

Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits

This is a final project for a Time Series course. My professor told me I could further work on it.

Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

This repository contains data and code for counterfactual time series analysis of air pollutant concentrations in the United States.

CoronaTracker Covid19 Twitter Data Visualization and Analysis

Auto-Forecasting is a web application that takes in an excel file with univariate time series data and provides forecasts. Auto-Forecasting works on SARIMA modeling.

Study and research on the hourly Time Series of electricity price from Italy. My interest would be to obtain both short and long term forecasts. I employ two univariate methods: sARIMA modelling and Prophet

Collecting, analyzing and forecasting sensory data from esp32 sensory devices.

In this project, we leverage time series forecasting techniques to make educated estimates of wine sales throughout the 20th century.