Analysis of web-scrapped news articles of DIE ZEIT. Construction of a sentiment indicator out of the articles and employment in a state-of-the-art economic prediction set-up demonstrating its usefulness for predicting inflation in particular.
Final year project as an undergrad student at Multimedia University.
Time series forecasting for common inflators and economic indices using the forecast package in R.
R Package to process and verify wind forecasts from weather models
An R client library for the Solcast API
Annual Copper Prices data from the year 1800 to 1997 was downloaded from the time series data library created by Rob Hyndman. I aim to analyse this uni-variate time series data and fit an ARIMA model to it.
backup of my bachelor thesis scripts, electricity price forecasting
Applying Facebook's prophet on Google Analytics data
Incremental median-based ensemble learning method for seasonal time series
Playing with the Bureau of Labor Statistics API
This work is a extensive interactive visualization as well as forecasting tool to forecast global monthly temperature. Choice of country and state (for which the forecasting is required) is menu driven and based upon dynamic subsetting of data. In addition, various graphs and parameters pertaining to the model builiding, comparison of predicted …
Making a one step ahead forecast of the growth rate of the Ann Arbor, MI housing prices.
An R package for building forecasting models using data from National Vulnerability Database (NVD).
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