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SHORT NOTES: Bootstrap Aggregation Example and Code

ABSTRACT
The following notes are from the COURSERA Practical Machine Learning course, and are intended to help others understand the concepts and code behind the math. Bootstrap aggregation, also known as bagging, is a Machine Learning method based on a few basic principles:a) resample cases and recalculate predictions, and b) average results or majority vote. The following short notes have easy to follow code and explanations on using the bagging method for machine learning classification.

Link to Rpubs

SHORT NOTES: Random Forests Example and Code

ABSTRACT
The following notes are from the COURSERA Practical Machine Learning course, and are intended to help others understand the concepts and code behind the math. Random Forests are an extension of Bootstrap methods. The following short notes have both code source and easy explanation of how to apply Random Forest to Machine Learning Predictions.

Link to Rpubs

Correlation of International Oil Prices and Colombian Peso TRM

ABSTRACT
The following analysis uses simple Data Science techniques to explore, analyze, and measure the relationship between the drop of international oil prices and the steep devaluation of the Colombian Peso against the US dollar between the months of September 2014 and October 2015.

It has been a known fact by economist that such a relationship always existed since oil exports represent a large percentage of Colombian GDP. But the exact analysis and correlation of variables is little known.

Link to Rpubs

 

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