Source: Towards Data Science
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point.
The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science.
Discovering Hidden Patterns with Intelligent K-Means Clustering As data scientists and machine learning practitioners, we often find ourselves faced with large...
In this article, we rebuild Logistic Regression step by step directly in Excel. The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in E...
In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we se...
Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes m...
