Important MCQs On Machine Learnning Techniques | Learn ML & AI Concepts in Detail With Examples

Machine Learning is a technique to make machines eligible to learn themselves, Machine learning is an autonomous learning technique to deduct, conclude or result on the basis of the data set we provide to it by training and model. ML concepts are very important part of today's technology as one can not skip it if you need to be in the Computer Science Stream.
For the purpose of boosting conceptual knowledge and practicing it for up coming exams we have designed unique questions that will help you to get the correct concepts of Machine Learning in detail.
Have a look on this session, It will help you in grasping plentiful amount of good knowledge and build your intrest on this technology.
#MachineLearning #MLConcepts #MCQsOnMachineLearning #MachineLearningQuestions

[@bhargavavaranasi8347]

Excellent explanation!!
one small correction, PCA - Principal Component Analysis

[@riteshkumarverma1395]

Sir I Like Your Way to solving the MCQs Sir....
Specially Thank you Sir 😊

[@ArihantOnlineAcademy]

Most welcome

[@quamar0313]

Ques no 10 ans is right but in 5th ques u told that PCA is not a part of supervised learning.
And here regression and classification are both part of supervised learning

[@er.akashjaiswal9532]

Nice sir jii

[@rajattandonmit]

V nice!!

[@deepakjain9730]

Nice..

[@deepad177]

👍👍👍👍👍

[@rinilkr3684]

Nice

[@beunique730]

👍👍👍

[@himanisingh5388]

👌👌👌👌

[@quamar0313]

Ques no 5 ur answer is wrong because PCA is used to for feature engineering it can be used for both supervised and unsupervised learning.
Right answer is linear regression

[@ShraddhaandAaradhyalife5431]

I like