1What is logistic regression used for?
Classification purposes and predicting the probability of a target variable
2What is the nature of the target variable in logistic regression?
Dichotomous, with two possible outcomes (0 or 1)
3What shape does the logistic regression function take?
An "S" shaped function
4What are the possible outcomes in a binary logistic regression?
0 or 1, Yes or No, True or False
5What is support vector machine (SVM) used for?
Classification and regression modeling
6What is the goal of SVM?
To find an optimal hyperplane that separates data points into different output classes
7What type of data is clustering used for?
Unsupervised data that doesn't require training or testing
8What does clustering help identify in datasets?
Underlying patterns and relationships within the dataset
9Is clustering used for predictive purposes?
No, but it helps in the predictive analytics process
10What is the main objective of clustering?
To group data points into clusters based on similarities
11What is an example of clustering in supermarkets?
Grouping similar items like groceries, hardware, and clothing into distinct departments
12What are some types of clustering?
Partitioning, density-based, hierarchical, model-based, fuzzy clustering
13What algorithm is used in partitioning clustering?
K-means algorithm
14What is density-based clustering?
It divides areas of high-density data points into clusters
15What is hierarchical clustering?
An alternate to partitioned clustering, creating a tree-like structure called a dendrogram