What is the process of converting categorical variables into numerical values for machine learning called?
Anonymous Quiz
35%
Feature Extraction
40%
Data Encoding
10%
Data Standardization
15%
Label Encoding
Which of the following is NOT a key role in a typical Data Science team?
Anonymous Quiz
18%
Data Engineer
24%
Data Analyst
24%
Data Scientist
35%
Database Administrator
What type of data analysis focuses on understanding the relationships and patterns within a dataset?
Anonymous Quiz
65%
Denoscriptive Analysis
18%
Predictive Analysis
6%
Inferential Analysis
12%
Diagnostic Analysis
Which of the following is a common technique used to handle imbalanced datasets in classification problems?
Anonymous Quiz
40%
Upsampling
13%
Downsampling
27%
Feature Engineering
20%
Data Wrangling
Which step in the Data Science process involves assessing the quality of collected data?
Anonymous Quiz
32%
Data Collection
14%
Data Cleaning
32%
Data Validation
23%
Data Visualization
In Data Science, what is the primary purpose of data visualization?
Anonymous Quiz
17%
To make data more confusing
17%
To obscure patterns in data
61%
To help communicate insights from data
6%
To complicate data
What is the term for the process of cleaning and organizing data into a structured format suitable for analysis?
Anonymous Quiz
62%
Data Transformation
19%
Data Visualization
19%
Data Aggregation
0%
Data Extraction
Which library in Python is commonly used for data manipulation and analysis in Data Science?
Anonymous Quiz
68%
Pandas
9%
Matplotlib
14%
Scikit-Learn
9%
TensorFlow
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Quiz Directory
أسئلة في مادة أساسيات علم البيانات
هذا الاختبار يحتوي على أسئلة في مادة أساسيات علم البيانات إعداد : حازم الحذيفي بالتوفيق للجميع؛؛ / 30 questions
Which of the following is NOT a common data visualization tool or library used in Data Science?
Anonymous Quiz
25%
Tableau
11%
Seaborn
14%
Power BI
50%
Excel
What is the primary focus of the Business Understanding phase in the CRISP-DM process?
Anonymous Quiz
19%
Data cleaning and transformation
62%
Understanding project objectives and the business context
10%
Building predictive models
10%
Evaluating model performance
In the Data Preparation phase, what is one of the main tasks?
Anonymous Quiz
45%
Cleaning and transforming data
20%
Deploying the model
15%
Evaluating model performance
20%
Understanding data types
What does the Modeling phase involve?
Anonymous Quiz
23%
Collecting and exploring data
9%
Evaluating the models effectiveness
27%
Deploying the model into a production environment
41%
Applying various modeling techniques to build predictive models
What is a key activity in the Deployment phase?
Anonymous Quiz
32%
Data exploration
14%
Feature selection
50%
Technical integration of the model
5%
Handling missing values
During which phase is the final model evaluated for its effectiveness?
Anonymous Quiz
33%
Business Understanding
24%
Data Preparation
10%
Evaluation
33%
Deployment
What is the main objective of the Evaluation phase in the CRISP-DM process?
Anonymous Quiz
5%
To deploy the model into production
71%
To assess whether the model meets business objectives
10%
To collect new data
14%
To clean the data
What is a key activity during the Deployment phase?
Anonymous Quiz
17%
Assessing the models response time
9%
Cleaning the data
35%
Evaluating model accuracy
39%
Splitting the dataset into training and test sets.
Which phase involves transforming data to address outliers?
Anonymous Quiz
21%
Data Understanding
17%
Business Understanding
21%
Modeling
42%
Data Preparation
What is the first step in the CRISP-DM process?
Anonymous Quiz
15%
Evaluation
50%
Business Understanding
15%
Modeling
19%
Data Preparation
What does the term modeling techniques refer to in the CRISP-DM process?
Anonymous Quiz
17%
Tools for evaluating model performance
58%
Algorithms used to build predictive models
13%
Methods for collecting data
13%
Approaches for cleaning data
Why is it important to split the dataset into training and test sets during the Modeling phase?
Anonymous Quiz
12%
To explore data types
32%
To clean the data
56%
To assess model performance on unseen data
0%
To deploy the model