R-Machine-Learning-Coursework-as-part-of-MSc-Data-Science

These projects in R were my coursework for the big-data machine learning in R module as part of my MSc in Data Science.

I received full marks for both assignments, each worth 10% of a 15-credit module.

Topics Covered include:

Coursework 1

• Model flexibility and choice
• Bayes Rule
• Descriptive Statistics
• Graphical data representation
• Linear Regression
• Logistic Regression
• ROC curves and model choice
• Resampling methods including LOOCV and k-fold CV

Coursework 2

• Bayesian Networks and Naive Bayes Classifiers
• Decision Trees and Random Forests
• Support Vector Machines using various kernels
• Hierarchical clustering with various linkages
• Principal Component Analysis
• K-means clustering