Presentation of the application that was developed for the last part of the John Hopkins Data Science Specialisation

First milestone report for the data science capstone project

A report on the classification of breast cancer types using dimensionality reductions techniques and four machine learning algorithms

A report on the classification of breast cancer types using dimensionality reductions techniques and four machine learning algorithms

This presentation briefly describes the shiny application I made with the Rotterdam bomb data. The app can be found on https://jorscience.shinyapps.io/the_bombardment_of_rotterdam/

Plotly assignment for the developing data products course

For an assignment for the Coursera course Developing Data Products, I had to generate a map using Leaflet. Accordingly, I sought to generate a map with bomb strike locations in Rotterdam between 1940 and 1945. This report details the process of getting from a PDF with bomb strike locations to plotting these on the map of Rotterdam.

In this course project, I attempt to estimate a machine learning model in order to classify executions of a weight lifting exercise.

In this report the analysis of the mtcars data is documented, which has been used to analyse and quantify the effect transmission type of cars (automatic or manual) has on miles per gallon.

This report covers part 2 of the course project of the Statistical Inference course of the John Hopkins University, for which data is analyzed and some basic, inferential analyses are performed.

This report covers part 1 of the course project of the Statistical Inference course of the John Hopkins University, for which a simulation exercise has been performed.

This is a report of my analysis for the second course project of the course Reproducible Research by John Hopkins University.