Chapter 6: Linear Model Selection & Regularisation
So far we have only considered cases when the number of observations is much more than the number of predictors, i.e. n»p. And it was a good place to get sta...
Hello There,
My name is Sriram. I'm currently in the second year of my Master's in Data Science at Maastricht University, Netherlands. I'm a Computer Vision intern at Statistics Netherlands for the next 6 months :)
I consider myself a detective 🕵🏽♂️, using statistical analysis powered by computer programming to uncover hidden insights from the messy world of data.
When I am not hunched over a laptop you can find me engrossed in (i) animals (ii) books (iii) football (iv) art ...
Currently I am :
- Using satellite data to count trees 🌳
- Learning to cook 🐀🍝
- Trying to stick to my New Year's Resolutions 🥲
Recent posts
Chapter 5: Resampling Methods
Having studied a few machine learning algorithms (for both regression and classification), we come back to the dreaded topic of evaluating their performance ...
Chapter 4: Classification
Classifying email as spam or ham
Chapter 3: Linear Regression
Trying to find the most “fitting” straight line
Chapter 2: Statistical Learning
From detecting heart disease in medical images to recommending the next show you should binge watch, machine learning is everywhere. But what exactly is mach...