Choosing the right metric is a very important phase in any Machine Learning Problem. They are many metrics we can choose for a particular problem but it might not be the best one.
When i started learning Machine Learning, there were a lof of concepts i didn’t understand. One of them was Underfitting vs Overfitting. I didn’t have any clue about what those words mean. Now that i do understand the concept, i’m going to explain it in the simplest way possible to the old me in this article.
A month ago, i joined the Summer of Data Science #SoDS18 challenge on twitter. To participate in the challenge, you just have to pick a list of things related to Data science that you want to learn, make a plan, and share it on social Media. In this post i’ll talk about what my goals were, what i learned during this first month and also share ressources i’ve used.