WorksheetsPENGURUSAN DATA SAINS DAN ANALITIK
Total questions: 10
Worksheet time: 9mins
What is data science?
The science of creating data.
It is a branch of Social Studies.
Multidisciplinary study of data collections for analysis, prediction, learning and prevention.
It is a specialized field of study under Artificial Intelligence.
Why do we need to prepare our data?
Data might be invalid.
Data might need to be transformed.
Data might have outliers.
All of the above
Raw data should be processed only one time
True
False
A brief step in Data Science is
Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization
Data Acquisition -> Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization
Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization -> Data Acquisition
Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization
Which is not a tool for Graphical Data Analysis?
Bar Chart
Box Plot
Linear Regression
Scatter Plot
All of the following statements are TRUE for machine learning algorithms except
The classifier is domain dependent
Difficult to get massive training data
Has target data to calculate and minimize the error
High computational time
1. Suppose your task is to automate the assignment of new electronic products to your company’s product categories or catalogue, what would be the best approach to solve the problem
Regression
Clustering
Classification
Association rules
In estimating the accuracy of classification models, the true positive rate is
the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified negatives.
the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified positives
the ratio of correctly classified positives divided by the total positive count
the ratio of correctly classified negatives divided by the total negative count
The price of house property is measured in ringgit, bedrooms and the square fit. Suppose you want to use a machine learning algorithm to predict the price of the property for the next 5 years, how would you treat this problem
Classification
Clustering
Regression
Association rules
Which of the following statement is TRUE?
Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art
None of the Mentioned
Machine learning focuses on prediction, based on known properties learned from the training data
Data Cleaning focuses on prediction, based on known properties learned from the training data.
