Data Scientist • Master’s in Data Science & Analytics • Former Police Officer • Mid-Career Switcher • Father of Two • Connect with me at linkedin.com/in/zeyalt

Some general tips to consider if you are thinking of a mid-career change into data science… or any other fields for that matter.

Photo by Marten Bjork on Unsplash

Making a mid-career switch is never an easy decision for anyone, let alone into a technical field like data science. It requires a great deal of reflection, contemplation, guidance, and courage, especially if you had started out in your original job expecting to go far and climb high.

At the…

Learn about the key fundamentals of F1-score, one of the most important evaluation metrics in machine learning.

Formula One (F1) Race (Photo by Spencer Davis on Unsplash)

Table of Content

  1. Introduction
  2. Precision and Recall: A Recap
  3. Which is Worse — False Positives or False Negatives?
  4. Motivation Behind F1-Score
  5. What is F1-Score?
  6. Precision, Recall or F1-Score?
  7. Why Harmonic Mean?
  8. Conclusion

1. Introduction

F1-score is one of the most important evaluation metrics in machine learning. It elegantly sums up the predictive performance of a…

Making precision and recall easy to understand with simple example, step-by-step explanation and animated GIFs

Photo by János Venczák on Unsplash

Table of Contents

  1. Introduction
  2. Motivation Behind Precision and Recall
  3. What are Precision and Recall?
  4. How Not To Get Confused?
  5. Why Precision and Recall over Accuracy?
  6. When to use Precision and Recall?
  7. Related Resources
  8. Conclusion

1. Introduction

In my previous post, I wrote about accuracy as an evaluation metric for binary classification models. I used the…

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