What is the primary goal of dimensionality reduction techniques in data modeling?

In data science, what is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA)?

A

To reduce the number of features while preserving important information

B

To add more features to the dataset

C

To normalize data

D

To visualize data

What is the primary goal of ensemble modeling techniques in data modeling?

A

To group similar data points

B

To predict future data

C

To improve model accuracy

D

To calculate summary statistics

What is the primary goal of dimensionality reduction techniques like Principal Component Analysis (PCA) in machine learning?

A

To increase model interpretability

B

To reduce the size of the training dataset

C

To perform unsupervised learning

D

To visualize data relationships

What is the primary goal of time series modeling in data modeling?

A

To predict numerical values

B

To group similar data points

C

To improve model accuracy

D

To calculate summary statistics

Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.

A

Both statements I and II

B

Both statements II and III

C

Both statements I and III

D

All of the above

In data modeling, what is the term for the process of reducing the dimensionality of data while preserving its important features?

A

Data Imputation

B

Data Reduction

C

Feature Engineering

D

Data Normalization

Certain number of children were playing a game of football. There was a trial taking place on the field. In this trial the probability that a goal is scored is 2/5. The probability that a girl hits a goal is 7/10 whereas the probability that a boy hits a goal is 1/5. What will be the probability that not only a goal is hit but it is also hit by a boy?

A

14/50

B

7/50

C

2/5

D

2/25

Certain numbers of children were playing a game of football. There was a trial taking place on the field. In this trial the probability that a goal is scored is 2/5. The probability that a gril hits a goal is 7/10 whereas the probability than a boy hits a goal is 1/5. What will be the probability that not only a goal is hit but it is also hit by a boy?

A

14/50

B

7/50

C

2/5

D

2/25

Which Python library is commonly used for dimensionality reduction and feature selection techniques in machine learning?

A

Scikit-learn

B

Seaborn

C

FeatureTools

D

Pandas

What is the primary goal of data modeling in the context of data science?

A

To collect raw data

B

To predict future data

C

To represent and understand data

D

To clean and preprocess data

What is the primary goal of dimensionality reduction techniques in data modeling?

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