Research Methodology for Data Science

Coursework A- Linear regression, logistic regression and mutlilevel modelling in R

Coursework B- Data exploration and hypothesis testing in R

Coursework C- PCA with Nyström approximation and snapshot methods for optimized performance on high dimensional data and comparison to multi-dimensional scaling.

Note that, the html files in this repository correspond to R notebooks which have been exported using HTML.