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1. Green-Energy-Modelling Green-Energy-Modelling Public

   A series of machine learning algorithms focused on data-driven decarbonization consulting.

   Python

2. Financial-Risk-Modelling Financial-Risk-Modelling Public

   A series of different machine learning models to estimate chance of credit default on large datasets.

   Python

3. Remote-Sensor-Algorithms Remote-Sensor-Algorithms Public

   A project that utilizes satellite data from NASA and predictive regressions on a global scale.

   Python

4. Unsupervised-Learning-Multivariate-Analysis Unsupervised-Learning-Multivariate-Analysis Public

   Different techniques for dealing with multiple variables in large data sets.

   1

5. Statistical-Model-Selection Statistical-Model-Selection Public

   This repository explores model selection techniques based off of my doctoral research. It explores the assumptions of linear modelling, the appropriate tests to apply, and the application of cross …

6. Outlier_detection Outlier_detection Public

   A project designed to detect outliers in large time series based data sets. It uses the Local Outlier Factor function to detect outliers.

   Jupyter Notebook