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WorksheetsDATASET'24 Quizz (Round 1)
Total questions: 20
Worksheet time: 30mins
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
Which of these techniques is used to fill missing numerical data in a dataset?
Drop rows
Replace with mean
Replace with random values
Replace with mode
Which type of encoding is used to convert categorical data into binary format?
Ordinal Encoding
One-Hot Encoding
Normalization
Standardization
What is the primary purpose of data science?
To create databases
To extract insights from data
To design websites
To maintain servers
Which step involves cleaning and organizing raw data for analysis?
Data Visualization
Data Preprocessing
Data Collection
Data Modeling
Which language is most commonly used in data science?
Java
Python
C++
HTML
What is Jupyter Notebook commonly used for?
Writing HTML code
Creating interactive Python notebooks for data analysis
Storing large data
Compiling Java programs
What is the measure of central tendency that calculates the average of a data set?
Median
Mode
Mean
Range
What does the term “outlier” mean in a data set?
A data point far away from other points
A point with the same value as others
The most frequent value
The average value
Which of the following methods is used to handle missing values in a data set?
Deleting rows
Replacing with mean/median
Keeping as is
All of the above
What is the process of removing duplicate data entries called?
Data Collection
Data Cleaning
Data Redundancy
Data Merging
