CodeSignal数据相关面经_CodeSignal数据相关面试真题及高频题

1.Implement Decision Tree from Scratch

2.Implement Bagging from Scratch

3.Calculate MLP Output

4.Decision Tree Analysis

5.GBM vs Random Forest

6.Reason for Training Loss Increase

7.Explain Ensemble Learning

8.Calculate Recall and FPR to Find Suitable Confusion Matrix

1. Implement Decision Tree from Scratch

Write code to implement a decision tree from scratch.

2. Implement Bagging from Scratch

Write code to implement bagging from scratch, including functions for bootstrap, predict, and fit.

3. Calculate MLP Output

Given a Multilayer Perceptron (MLP) with specific parameters, calculate its output.

4. Decision Tree Analysis

Discuss the concept of a decision tree and how it is used in machine learning.

5. GBM vs Random Forest

Compare Gradient Boosting Machines (GBM) and Random Forests in terms of their differences and when to use each.