Common Evaluation metrics every Data Scientist should know. (part 1-Classification)If you’re reading this, I know you probably know lots of ML algorithms, or perhaps used quite a few of them, say Logistic Regression, Decision tree, Stochastic boost, Random Forest, Lightgbm, Catboost (my favourite) and so on. I made one up, I guess ...1GNov 22, 2020 · 13 min readpaulokewunmi.hashnode.dev
Basic Software Engineering Practices You Should Adopt as a Data Scientist.Hi Guys, In this article, we will go over a few techniques that you should know as data scientists to be better developers and prepare for production-level code. You will learn how to write clean and modular code, improve your code's efficiency, doc...4ISTOct 30, 2020 · 9 min readpaulokewunmi.hashnode.dev
