When I first seriously decided to learn programming about three years ago, I picked up Python using Zed Shaw's Learn Python the Hard Way. While an excellent introduction to programming for someone who had previously only cobbled together SPSS syntax, …
Choosing the right linear regression model for your data can be an overwhelming venture, especially when you have a large number of available predictors. Luckily R has a wide array of in-built and user-written tools to make this process easier. In …
Coming from a psychology background, I have a soft spot for multiple linear regression. This method is a workhorse in statistics and machine learning, being flexible, powerful and easily interpretable. An issue that people new to multiple regression …
I love visiting the CBD of Melbourne - it is a beautiful place with great restaurants, cafes, shopping and museums. Unfortunately, as with any big city it can get really crowded at times, which can sap a bit of enjoyment for a nerd like me! Imagine …
One of the biggest issues when building an effective machine learning algorithm is overfitting. Overfitting is where you build a model on your training data and it not only picks up the true relationship between the outcome and the predictors, but …
