I'm a Data Scientist currently working for Oda, an online grocery retailer, in Oslo, Norway. These posts are my way of sharing some of the tips and tricks I've picked up along the way.
Root Mean Squared Error (RMSE) is a popular metric to use for regression machine learning models, but what is good value? In this post, I explain what RMSE is, what a good value is, and answer some common questions.
RMSE and MAE are both metrics for measuring the performance of regression machine learning models, but what’s the difference? In this post, I will explain what these metrics are, their differences, and help you decide which is best for your project.
RMSE and MSE are both metrics for measuring the performance of regression machine learning models, but what’s the difference? In this post, I will explain what these metrics are, their differences, and help you decide which is best for your project.
Running list comprehension on a nested list will create a new list by performing an operation on each nested element. In this post, I will explain how to run nested list comprehension and cover some common questions that users have.
Precision and recall are metrics for classification machine learning models. Recall is the model's ability to capture positive cases and precision is the accuracy of the cases that it does capture.
