Python ML Guided Project Credit Card Approvals Classification - Level 4, 40 min

In this supervised learning Python ML guided project we will be predicting whether or not someone was approved for a credit card. In this Python project, we will only be using the LogisticRegession() in Sklearn for this supervised classification problem. Although this project would work with RandomForestClassifier() or GradientBoostingClassifier() we will be focusing on error analysis in this classification problem. Understanding precision versus recall and why we would want to focus on one versus the other. Understanding which errors matter to us allows us to improve either recall or precision score, whichever score is important for our business use case.

Want to read more?

Subscribe to datasimple.education to keep reading this exclusive post.

Subscribe Now