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Menu iconMenu iconData Analysis Foundations with Python
Data Analysis Foundations with Python

Quiz Part VI: Machine Learning Basics

Answer Key of Quiz Part VI: Machine Learning Basics

  1. B) Supervised, Unsupervised, Reinforcement  
  2. B) K-means Clustering
  3. C) Intercept
  4. B) Logistic Regression
  5. B) K-means Clustering
  6. C) Principal Component Analysis (PCA)
  7. C) To find outliers in a dataset

Feel free to check your answers with the answer key provided at the end. How did you do? Whether you got them all correct or found some questions challenging, the most important thing is that you're engaging with the material and deepening your understanding. Keep up the great work! 

Answer Key of Quiz Part VI: Machine Learning Basics

  1. B) Supervised, Unsupervised, Reinforcement  
  2. B) K-means Clustering
  3. C) Intercept
  4. B) Logistic Regression
  5. B) K-means Clustering
  6. C) Principal Component Analysis (PCA)
  7. C) To find outliers in a dataset

Feel free to check your answers with the answer key provided at the end. How did you do? Whether you got them all correct or found some questions challenging, the most important thing is that you're engaging with the material and deepening your understanding. Keep up the great work! 

Answer Key of Quiz Part VI: Machine Learning Basics

  1. B) Supervised, Unsupervised, Reinforcement  
  2. B) K-means Clustering
  3. C) Intercept
  4. B) Logistic Regression
  5. B) K-means Clustering
  6. C) Principal Component Analysis (PCA)
  7. C) To find outliers in a dataset

Feel free to check your answers with the answer key provided at the end. How did you do? Whether you got them all correct or found some questions challenging, the most important thing is that you're engaging with the material and deepening your understanding. Keep up the great work! 

Answer Key of Quiz Part VI: Machine Learning Basics

  1. B) Supervised, Unsupervised, Reinforcement  
  2. B) K-means Clustering
  3. C) Intercept
  4. B) Logistic Regression
  5. B) K-means Clustering
  6. C) Principal Component Analysis (PCA)
  7. C) To find outliers in a dataset

Feel free to check your answers with the answer key provided at the end. How did you do? Whether you got them all correct or found some questions challenging, the most important thing is that you're engaging with the material and deepening your understanding. Keep up the great work!