Technology & Programming

Intermediate Data Science Quiz: Core Concepts Examined

Dive into 7 medium-level questions testing practical data science knowledge from preprocessing to predictive modeling.

#machine learning#statistical methods#data pipelines#data science#feature engineering#model evaluation#python libraries

Total Questions

Difficulty Level

medium

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0/0

Quiz Questions

Answer all questions below and test your knowledge.

1
In machine learning, what does the term 'feature scaling' primarily achieve?
Question 1
2
Which technique is commonly used to prevent data leakage in train-test splits?
Question 2
3
What is the primary purpose of principal component analysis (PCA)?
Question 3
4
In evaluating binary classifiers, when is F1-score preferred over accuracy?
Question 4
5
Which pandas function efficiently merges two DataFrames on a common key?
Question 5
6
What distinguishes bagging from boosting in ensemble methods?
Question 6
7
In time series forecasting, what role does stationarity play?
Question 7