DATASET'24 Quizz (Round 1)

Which of the following is the main purpose of data normalization?

• To convert all features to the same scale

• To create new features from the existing ones

• To handle missing data

• To remove outliers from the dataset

What is the role of the "learning rate" in machine learning algorithms?

• It determines how fast the model is trained

• It controls the amount of data to be used for training

• It determines the number of iterations in the training process

• It controls the step size while updating weights during training

Which of the following algorithms is best suited for large datasets with many features?

• K-Means Clustering

• Logistic Regression

• Decision Trees

• Support Vector Machines (SVM)

What is the purpose of the "fit()" method in Scikit-learn?

• To predict outcomes using a trained model

• To initialize a machine learning model

• To train the model on the data

• To evaluate the model's performance

What is the main objective of data preprocessing in data science?

• To increase the complexity of the dataset

• To remove irrelevant data

• To reduce the dataset size

• To make the data suitable for analysis

In a decision tree model, what does a "node" represent?

• A splitting rule or condition

• A data point in the training set

• The final output of the model

• A hyperparameter of the algorithm

In a Random Forest, what does "bagging" refer to?

• The process of dividing the dataset into training and testing sets

• Using a bootstrap sample of the training data to build each tree

• Combining results of decision trees in a hierarchical manner

• Regularizing the decision trees to avoid overfitting

Which of the following is NOT a common application of Natural Language Processing (NLP)?

• Sentiment Analysis

• Text Classification

• Image Recognition

• Machine Translation

What does a box plot visually represent?

• Frequency distribution

• Measures of central tendency and spread

• Probabilities

• Data redundancy

Which of the following measures the strength of the relationship between two variables?

• Mean

• Correlation coefficient

• Standard deviation

• Variance