FREE Data Science Machine Learning Algorithms Questions and Answers

Question 1

Which of the following machine learning algorithms is primarily used for classification tasks and works by finding a hyperplane that best separates data points into different classes, maximizing the margin between them?

Accepted Answer

Support Vector Machine (SVM)

Answer

K-Means Clustering

Answer

Linear Regression

Answer

Principal Component Analysis (PCA)

Question 2

A data scientist is working on a dataset with a mix of categorical and numerical features and needs to predict a continuous target variable. The dataset is known to have some non-linear relationships and potential interactions between features. Which algorithm would generally be a strong candidate for this scenario due to its ability to handle various data types and capture complex patterns?

Accepted Answer

Decision Tree Regressor

Answer

K-Nearest Neighbors (KNN) Classifier

Answer

Naive Bayes Classifier

Answer

Apriori Algorithm

Question 3

Which clustering algorithm requires the number of clusters (k) to be specified beforehand and iteratively assigns data points to clusters based on the proximity to their centroids, then updates the centroids?

Accepted Answer

K-Means Clustering

Answer

DBSCAN

Answer

Agglomerative Hierarchical Clustering

Answer

Gaussian Mixture Model

Question 4

For a fraud detection system, an imbalance in the dataset is common (very few fraud cases compared to legitimate transactions). Which metric would be most appropriate to evaluate the model's performance in identifying fraud, rather than just overall accuracy?

Accepted Answer

Recall (Sensitivity)

Answer

Accuracy

Answer

Precision

Answer

F1-Score

Question 5

A team is developing a recommendation system for an e-commerce platform. They want to find associations between products frequently purchased together. Which type of algorithm is best suited for this task?

Accepted Answer

Association Rule Mining

Answer

Regression

Answer

Classification

Answer

Clustering

Question 6

Which of the following is a key characteristic of the Naive Bayes algorithm?

Accepted Answer

It assumes features are conditionally independent given the class label.

Answer

It constructs a decision tree by recursively splitting data.

Answer

It finds a hyperplane to separate data with the maximum margin.

Answer

It clusters data points based on their density.