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.
The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.
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.
A demand forecasting model for an E-Commerce retailer, built using KPIs from Google Analytics & implemented in RStudio. Models: time-series, ARIMA, Regression (multivariate & dynamic). Open-source & contributions welcome.
GARCH_Model-Gravitational Residual Model (GRM) is an innovative time series forecasting model inspired by the spacetime curvature concept from general relativity theory.
Simplistic tool for item price prediction in Hypixel Skyblock using machine learning, neural network and more.
forecasting electricity demand for the next 1-2 years using historical monthly consumption data and various forecasting models.
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.
TimeSeries Analysis-TimeSeries Forecasting-Exponential Smoothing-Arima-Mape Evaluation-Insight Business
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
Kaggle challenge asking to predict 3 months of sales for 50 different items at 10 different stores based on the past.
Code for the Lancet Digital Health manuscript
A multivariate time series forecasting of pollution data using ARIMA, LM & ARIMAX in R
Arima con restricciones
This is my portfolio.
Exploring Time Series in R - This is an exploration of time series analysis that includes moving average, holt-winters smoothing, and ARIMA models.
Forecasting quarterly data of US GDP from the FRED-QD dataset.
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