32. AWS CLI Examples
AWS CLI Examples Prerequisites cmd 1. AWS CLI Examples 1-1. DAILY + Usage Type aws ce get-cost-and-usage ^ --time-period Start=2026-05-10,End=2026-05-13 ^ --granularity DAILY ^ --me...
AWS CLI Examples Prerequisites cmd 1. AWS CLI Examples 1-1. DAILY + Usage Type aws ce get-cost-and-usage ^ --time-period Start=2026-05-10,End=2026-05-13 ^ --granularity DAILY ^ --me...
SHAP Prerequisites SHAP 1. How to implement the real SHAP is a model interpretation algorithm. The main idea is: Measure how much each feature contributed to the final prediction. In o...
Isolation Forest Prerequisites Isolation Forest 1. How to implement the real Isolation Forest is similar model with random forest. It is ensembling model and the main difference is where i...
LeetCode 543. Diameter of Binary Tree LINK: https://leetcode.com/problems/diameter-of-binary-tree/ Matter You are given the root of a binary tree. Return the length of the longest path between ...
LeetCode 42. Trapping Rain Water LINK: https://leetcode.com/problems/trapping-rain-water/description/ Matter You are given an array where each value represents the height of a vertical bar. Aft...
LeetCode 124. Binary Tree Maximum Path Sum LINK: https://leetcode.com/problems/binary-tree-maximum-path-sum/ Matter You are given the root of a binary tree. Find the maximum possible sum of val...
Random Forest Prerequisites Random Forest 1. How to implement the real Random Forest is ensembling model with various random decision tree. Each trees has different features from being cho...
BallTree Prerequisites BallTree 1. How to implement the real DBSCAN do not have manual number of clusters unlike KMeans. DBSCAN find another point from original point. It’s extending conti...
DBSCAN Prerequisites DBSCAN 1. How to implement the real DBSCAN do not have manual number of clusters unlike KMeans. DBSCAN find another point from original point. It’s extending continuou...
PCA Prerequisites PCA 1. How to implement the real PCA transform the original diemension to reduced dimension that make high variance features. So there’s no interpretable elements when it...