Today I will be looking at the Wisconsin Breast Cancer Data Set a pre-processed, clean data set on SKLearn. The purpose of this is to classify whether the tumour is ‘benign’ or ‘malignant’ and I will be comparing and contrasting a number of different techniques as a means of understanding the data. As this is a relatively small data set, I don’t foresee any meaningful difference in the models’ power of prediciton.

Today, I will be doing a Linear Regression Analysis using the Boston House Price dataset from the Sci-Kit Learn Library. Linear Regression allows the examination of the relationship between inputs and a continuous output. In this case, the output refers to the value of the house price. We will be exploring the data to see whether or not we can learn anything about the relationships between the variables and whether we can build a model that can predict house prices based on some of the inputs.