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updated 29 days ago

Machine Learning for Mining & Metals by David Willingham

2 examples for Machine Learning for Mining, Regression & Classification (machine learning, metals, mining)

plotFitErrors.m

plotFitErrors.m

Rsquared(Y, YHat )

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updated almost 2 years ago

Making Data Analytics for the Mining Industry Simple with MATLAB by David Willingham

Highlights automatically importing assay text data, perform basic statistics & visualization (mining industry, assay, assay data)

Mine Assay Tool

alphavol(X,R,fig)

createFit(z1, c1)

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updated almost 2 years ago

Mining Economics with MATLAB by David Willingham

Simulates a distribution of Net Present Values of a mine via a forecasting model for Iron Ore Prices (commodities, mining, economics)

FitNPV(NPV)

cashflow(data,NTrials,SYear)

discounting(data,capex,NTrials,sales,discFactorY,salesb)

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updated 2 years ago

Parametric Value At Risk by David Willingham

Computes the Parametric Value at Risk for a given Portfolio (var, value at risk, parametric value at r...)

computeParametricVaR(returns,confidence_level,plot_flag)

exampleparvar.m

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updated 2 years ago

Historical Value At Risk by David Willingham

Calculates Historical Value at Risk for a given portfolio of returns (value at risk, portfolio, var)

computeHistoricalVaR(returns,confidence_level,plot_flag)

examplehistvar.m

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updated 3 years ago

READMAIL by David Willingham

Imports the text from emails into MATLAB & saves attachments from Microsoft Outlook. (sendmail, outlook, email)

readmail.m

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updated 3 years ago

Electricity Load Forecasting for the Australian Market Case Study by David Willingham

This is a case study of forecasting short-term electricity loads for the Australian market. (artificial intelligen...)

Electricity Load Forecasting

Electricity Load Forecasting - Australia

Electricity Price Forecasting

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