Python and Data Science

What is the correct syntax to define a function in Python?

• define function_name(parameters):
• def function_name(parameters):
• function_name(parameters):
• def function_name:

How do you create a list in Python with the elements 1, 2, 3?

• my_list = [1, 2, 4]
• my_list = (1, 2, 3)
• my_list = [1, 2, 3]
• my_list = {1, 2, 3}

Which of the following data types is mutable in Python?

• tuple
• set
• dict
• list

What is the main difference between supervised learning and unsupervised learning?

• Supervised learning uses unlabeled data, while unsupervised learning uses labeled data.
• Supervised learning and unsupervised learning have no differences.
• Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.
• Supervised learning is used for classification tasks, while unsupervised learning is used for regression tasks.

Which of the following is an example of supervised learning?

• Linear regression
• Logistic regression
• K-means clustering
• Decision tree

In the context of supervised learning, what is "training data"?

• The evaluation metrics used to assess model performance
• The process of fine-tuning a model's hyperparameters
• The dataset used to train a machine learning model.
• The final output of a machine learning model

Which of the following is commonly used in unsupervised learning?

• Decision trees
• Regression analysis
• Supervised learning algorithms
• Clustering algorithms

• Which technique is used to reduce the dimensionality of data in unsupervised learning?

• Principal Component Analysis (PCA)
• Decision Trees
• K-Means Clustering
• Linear Regression

• What is the main difference between regression and classification in supervised learning?

• Regression predicts discrete values, while classification predicts continuous values.
• Regression and classification are the same in supervised learning.
• Regression predicts continuous values, while classification predicts discrete values or categories.
• Regression always has higher accuracy than classification.

In supervised learning, what is the role of a "target variable"?

• The target variable is the variable that is used for model evaluation.
• The target variable is the variable that is ignored by the model.
• The target variable is the variable that is randomly selected.
• The target variable is the variable the model is trying to predict.