decision trees robust to outliers

Can Decision Trees Handle Missing Values? In general, Decision Trees are quite robust to the presence of outliers in the data. This …

interpret decision trees

Can Decision Trees Handle Missing Values? We can interpret Decision Trees as a sequence of simple questions for our data, with yes/no …

Tune Hyperparameters in Decision Trees

Build a Decision Tree in Python from Scratch We can tune hyperparameters in Decision Trees by comparing models trained with different parameter …

Information gain in decision trees

Can Decision Trees Handle Missing Values? For classification problems, information gain in Decision Trees is measured using the Shannon Entropy. The amount …

knn recommender

Building a Pyspark Pipeline with 1 Simple Example In this post, we will work through the implementation of a KNN Recommender System …

precision@k and recall@k

Understanding Backpropagation For those who prefer a video presentation, you can see me work through the material in this post here: https://youtu.be/WEJcETfWwOo …