difference between regression and classification then what is difference between linear and logistic if logitistic regression is classifying why is it called regression evaluation metrics for linear regression. difference between rsquare and adjusted rsquare? what if an irrelevant feature is kept will it increase rquare or will it stay the same? what does rsquare tells you? how does rsquare works or how does it behaves? if the rsquare is 0.8 what does it mean? what are we interpreting from 0.8 which of the l1 and l2 is direction based? what are the advantages and disdadvantages of kmeans clustering? what are the methods to determine optimum k? what does silhouette score mean how it works? why it is called elbow method? how are you going to pass categorical feature to kmeans clustering? if you have 100 features are you going to pass it directly or what will you do? consider two tables a and b, table a has 10 rows, table b has 20 rows. both have ID column to match on. If I do the inner join what is the minimum and maximum number of rows that we will get? select 3 from employee - what will this print [{}({)}] how to balance the brackets using python? what in this case - [{}()]?