5 Questions
What is the process of removing errors and inconsistencies from a dataset known as?
Data Cleaning
Which concept deals with balancing bias and variance in machine learning models?
Bias and Variance Trade Off
What technique is used to estimate the generalization error of a predictive model?
Cross Validation
In the context of data analysis, what is the purpose of Principal Component Analysis (PCA)?
Dimensionality Reduction
Which method combines multiple machine learning models to improve predictive performance?
Ensemble Learning
Test your knowledge on fundamental concepts in data science including data, information, knowledge triangle, IDE, EDA, data visualization, Data Cleaning, data Analysis, Modeling, Data Curation, query languages, GitHub, web scraping, software development tools, Linear Regression, bias variance trade-off, BIC, and cross validation.
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