Solutions for Data Mining in Trading

Time series analysis in the `tidyverse`

Extending broom for time series forecasting

STAT497 APPLIED TIME SERIES ANALYSIS term project

Wind-Power-Forecasting using Time-series Analysis

This project aims to evaluate and compare the forecasting performance of two distinct model-ing paradigms: traditional time series models and machine learning approaches. This Project was developed at the University of Padova, Department of Mathematics, for the Business, Economic and Financial Data course.

This aims to investigate the stock market movements of historic SP 500 data using Markov Models

Hydrology and Climate Forecasting R package

Beer national sales forecasting

CU M.Sc. Project

Code for Demographic portion of Socioeconomic Forecasting update

FastForecast is an R package that aims to provide a fast and accurate forecasting method for time series data.

Time series methods for public transit ridership forecasting

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

predicted traffic volume 15 minutes ahead by applying SARIMA and ARMAX models on traffic flow data

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

Code I had written in R when I was learning different statistical techniques used for quantitative forecasting.

Automatic Time Series Forecasting and Ensembling via Meta-learning

MSGARCH R Package

data and code associated with the publication "Age structure augments the predictive power of time series for fisheries and conservation" by Tara E. Dolan, Eric P. Palkovacs, Tanya L. Rogers, and Stephan B. Munch.