The three main categories of Data Science are Statistics, Machine Learning and Software Engineering. To become a good Data Scientist, one needs to have a combination of all three in their quiver. In this post, I am going to talk about a Log Odds — an arrow from the Statistics category. When I first began working in Data Science, I was so confused about Log Odds. I would have questions like What is Log Odds, Why do we need them, etc.
When trying to understand any concept, I like to use the Divide and Understand strategy, i.e., break it into smaller pieces, understand their meanings separately, and then combine this knowledge to get hold of the concept as a whole. So here, let’s first learn what is meant by Odds and then try to work our way towards understanding Log Odds.