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Data Analysis Foundations with Python

Quiz Part VI: Machine Learning Basics

Chapter 15: Unsupervised Learning

  1. Which algorithm is commonly used for clustering?  

    A) Linear Regression

    B) K-means Clustering

    C) Logistic Regression

    D) Decision Trees

  2. Which technique is used for dimensionality reduction?

    A) Logistic Regression

    B) K-means Clustering

    C) Principal Component Analysis (PCA)

    D) Random Forests

  3. What is the primary goal of anomaly detection?

    A) To find the average of a dataset

    B) To group similar data points together

    C) To find outliers in a dataset

    D) To reduce the dimensions of a dataset

Chapter 15: Unsupervised Learning

  1. Which algorithm is commonly used for clustering?  

    A) Linear Regression

    B) K-means Clustering

    C) Logistic Regression

    D) Decision Trees

  2. Which technique is used for dimensionality reduction?

    A) Logistic Regression

    B) K-means Clustering

    C) Principal Component Analysis (PCA)

    D) Random Forests

  3. What is the primary goal of anomaly detection?

    A) To find the average of a dataset

    B) To group similar data points together

    C) To find outliers in a dataset

    D) To reduce the dimensions of a dataset

Chapter 15: Unsupervised Learning

  1. Which algorithm is commonly used for clustering?  

    A) Linear Regression

    B) K-means Clustering

    C) Logistic Regression

    D) Decision Trees

  2. Which technique is used for dimensionality reduction?

    A) Logistic Regression

    B) K-means Clustering

    C) Principal Component Analysis (PCA)

    D) Random Forests

  3. What is the primary goal of anomaly detection?

    A) To find the average of a dataset

    B) To group similar data points together

    C) To find outliers in a dataset

    D) To reduce the dimensions of a dataset

Chapter 15: Unsupervised Learning

  1. Which algorithm is commonly used for clustering?  

    A) Linear Regression

    B) K-means Clustering

    C) Logistic Regression

    D) Decision Trees

  2. Which technique is used for dimensionality reduction?

    A) Logistic Regression

    B) K-means Clustering

    C) Principal Component Analysis (PCA)

    D) Random Forests

  3. What is the primary goal of anomaly detection?

    A) To find the average of a dataset

    B) To group similar data points together

    C) To find outliers in a dataset

    D) To reduce the dimensions of a dataset