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In a dataset, variance of the attributes are almost equal when we consider their projection over X and Y axis, Which method can be tested to reduce dimension ?

• applying low variance filter
• dropping missing values
• applying principal component analysis
• applying high co-relation filter

Which machine learning algorithms that can be used with labeled data ?

• A regression algorithm
• Association algorithm
• clustering algorithm

Which machine learning algorithms can be used with un-labeled data ?

• A regression algorithm
• Association algorithm
• clustering algorithm
• Instance based algorithms

Which is a disadvantage of decision trees?

• Robust to outliers
• prone to overfit
• computational complexity is high.

Which machine learning algorithm uses neural network as a part of the algorithm ?

• Naïve bayes algorithm
• decision tree
• deep learning
• KNN algorithm

Which is NOT an example of supervised learning technique

• Regression techniques
• classification techniques
• clustering techniques

Which machine learning models are trained to make a series of decisions based on the rewards and feedback they receive for their actions?

• supervised learning
• un-supervised learning
• re-inforcement learning

Real-Time decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are applications of ______.

• supervised learning
• un-supervised learning
• re-inforcement learning

Which of the following is not a supervised learning?

• PCA
• Naive bayesian classifier
• Linear regression
• decision tree classifier

which is suitable metric for categoricl variable to find similarity ?

• Euclidiean distance
• Manhattan distance
• Minkowski distance
• Hamming distance