(vi) We also need to consider the following things while choosing an Algorithm. They are : - (a) Accuracy. (b) Training Time. (c) Linearity. (d) Number of Parameters. (e) Number of Features.
5. Define one problem statement for Education Industry ? Answer :- This Question has several Answers. Few of them are :- (i) “An Educational Institution wants to Optimize e-Learning System , Optimize and Manage Chatlog ,Optimize People’s Feedback “ (ii) “Government wants to know Evaluation and Analysis of Enrollment,Literacy and Dropout Rate in Government Schools “. Example with Problem Category are :- Prediction :- Detecting student behaviors ,Predicting and understanding student educational outcomes Clustering :- Investigating new student patterns. Investigating similarities and differences between schools. Note :- We can use Predictive Analytics to improve (i) Student Performance. (ii) Student Retention. (iii) Effective Management of Enrollment. (iv) Institutional Progression. (v) Management of Financial Aid. (vi) Campus Security Enhancement.
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- Spring '19