D491 Introduction to Analytics - Set 2 - Part 3

Correct Answer: To show trends over time

Line charts are used to display trends and patterns over time by connecting data points with lines.

Correct Answer: K-means clustering

K-means clustering is an unsupervised algorithm that groups similar data points into clusters based on distance or similarity.

Correct Answer: To visualize the distribution of a single continuous variable, highlighting the quartiles and outliers

A box plot is used to visualize the distribution of a single continuous variable by displaying its quartiles and identifying potential outliers.

Correct Answer: Apriori

The Apriori algorithm is commonly used in association rule mining to identify frequent itemsets and generate association rules.

Correct Answer: To test the model on multiple data subsets to reduce overfitting

Cross-validation helps reduce overfitting by testing the model on different subsets of data, providing a more reliable estimate of performance.

Correct Answer: Supervised learning predicts labels, while unsupervised learning finds patterns

Supervised learning involves predicting labels based on input data, while unsupervised learning identifies patterns or clusters without labeled data.

Correct Answer: Principal component analysis (PCA)

PCA reduces the dimensionality of a dataset by transforming the original features into new components that capture most of the variance.

Correct Answer: To predict future preferences or items of interest based on past behavior

Recommender systems use past behavior or preferences to predict future items of interest, such as products or content.

Correct Answer: Model execution

The model execution phase focuses on testing models, refining them, and evaluating their performance to ensure they meet the project's objectives.

Correct Answer: Precision

Precision measures the proportion of true positives out of all predicted positives, providing an evaluation of the model's performance in identifying relevant cases.