This software was designed with the purpose of anomaly detection and correction for time series water sensor data. This software was developed using the Logan River Observatory data set.

This repository introduces some basics on time series. It also presents ARIMA models and its variants as well as the Facebook Prophet forecasting model.

Empirical analysis with financial data (MSFT stock returns) in R, with the goal to produce useful forecasts using univariate, multivariate time series models and volatility models.

Analyze data from bike sharing services to identify usage patterns. Implement visual analysis, hypothesis testing, and time series analysis

Tesla Stock Price Prediction using the techniques like Feature Extraction, Feature Importance, ARIMA, SARIMAX, Fourier Transform. Forecasting the future price of the Tesla Stock Price.

The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.

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

Code for the Lancet Digital Health manuscript

This project aims at studying temporal behaviour of smartphone app users, with special focus at changes in usage. The analysis will rely on time series techniques to detect change points and forecast shifts in usage. In particular, we will leverage univariate timeseries approaches.

Kaggle challenge asking to predict 3 months of sales for 50 different items at 10 different stores based on the past.

This is a release of data and analysis scripts of the "Associations of inclement weather and poor air quality with non-motorized trail volumes" paper published in Transportation Research Part D.

Financial time series forecasting using R

Exploring probabilistic time series methods for electricity demand forecasting

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

Progetto Data Science Lab

Database management and data analytics from a car-sharing dataset. The dataset contains information about the customers' demand rate between January 2017 and August 2018.