Machine Learning & Data Science - Detailed

Identify the Problem:

We have Information of all previous general elections with respect to party, votes, Candidates, Locality, Issues in nation, etc. With All this information we need to find the winner of next general election.

• Classification

• Regression

• Clustering

• none of them

Identify the problem:

We have information of all houses in a particular area like size, type and design of house, locality, colour, previous purchase etc. on the basis of these data we have to find the price of a particular house.

• Classification

• Regression

• Clustering

• Prbabilistic

Identify a problem:

You have details of corona affected positive cases found in various regions. Depending upon parameters like number of increasing corona infected patients, weather conditions etc. regions are classified into red zone, Green zone and Orange Zone. On the basis of these data we have to predict the region of a city.

• classification

• regression

• clustering

• unsupervised learning

What are the two types of Unsupervised Learning?

• Loitering

• Clustering

• Association

• Dissociation

What is the primary goal of regression?

• Classify Data

• Predict Numerical Values

• Identify Clusters

• Reduce Dimentionality

Which Library is Commonly used for Machine Learning in Python?

• NumPy

• Pandas

• Sklearn

• Matplotlib

Which library is used for data visualization in Python?

• Numpy

• Sklearn

• Matplotlib

• Tensorflow

What is the purpose of exploratory data analysis (EDA)?

• To clean the data

• To understand the underlying structure of data

• To train the model

• To deploy the model

Which of the following is a structured dataset?

• Text Data

• Sensor Data in CSV File

• Video Files

• Social Media Posts

Which of the following techniques is used to handle missing data?

• Dropping rows/columns

• Imputation

• Replacing with mean/median/mode

• All of the Above