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 pursuing my Master's in Data Science at Maastricht University, Netherlands.
🕵🏽‍♂️ 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 :
- Teaching computers to see the world around us
- Building a self-correcting math test that tells you what to study :D
- Cooking one new dish each Sunday
- Studying like my life depends on it
Recent posts
Outlive : The Science and Art of Longevity
The biggest takeaway is to make consistent, sustainable efforts. Don’t make black (none) / white (only workout) efforts; aim for gray.
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