In a previous post, I explained how you can sample two Pandas DataFrame exactly the same way. In this blog post, I want to use that helper function to undersample your predictors and target variable. When you are working with an imbalanced data set, it’s often good practice to under-…
A couple of weeks ago, I started working with survival analysis. It was fairly new to me, so I had to dig into some new methods. There was one method that captured my attention: random survival forests (RSFs). It’s one of many statistical learning techniques designed to work with right-censored…
In this blog post I explain how to create a DataGenerator with a one-hot encoder to encode your labels in the same way for every batch. Some months ago, I tried training a text generator on a huge corpus of text with an LSTM model. Basically, it’s a model that…
Toen Roger McNamee in maart 2019 in zijn podcast-interview met Sam Harris verkondigde dat Android, het mobiele besturingssysteemvan Google, een stofzuiger is voor jouw data, had hij niet kunnen voorzien wat 2 maand later op Google IO aangekondigd zou worden: federated learning. Binnenkort moet de tech-gigant jouw data niet meer…
In this blog post I will introduce you to building and training your own neural network algorithm in R through Keras & TensorFlow. If you haven’t installed Keras for R yet, please follow the instructions explained in part 1. I have explicitly chosen to work with structured data in this…
Personally, Random Forest is one of my favorite algorithms for supervised learning. It’s quick and dirty and still allows for some interpretation. However, R and the RandomForest package are somewhat cryptic when it comes to requirements not met to properly train the algorithm. I bumped a lot into this error…