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TF-IDF considers term frequency and inverse document frequency, while Bag of Words only counts word occurrences.
TF-IDF assigns weights to words based on their frequency in a document and across all documents.
Bag of Words represents text as a collection of words and their frequencies, ignoring the order of words.
TF-IDF is more advanced and takes into account the importance of words in a document, while Bag of Words is s
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization to new data, as the model is too specific to the training set.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too many b...
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
Bias is error from erroneous assumptions in the learning algorithm, leading to underfitting.
Variance is error from too much complexity in the learning algorithm, leading to overfitting.
Bias and variance are inversely related - increasing one decreases the other.
Example: A linear regression model may have high bias but low...
I applied via Recruitment Consulltant and was interviewed in Jul 2022. There was 1 interview round.
Tokens in Postgres are the smallest unit of input that can be processed by the parser.
Tokens are used to identify and categorize the different parts of a SQL statement.
Examples of tokens include keywords, identifiers, operators, and literals.
The parser uses tokens to create a parse tree, which is used to execute the SQL statement.
Logistic regression is a type of classifier that uses a logistic function to model a binary dependent variable.
Logistic regression is a statistical method used to analyze a dataset in which there are one or more independent variables that determine an outcome.
It is called logistic regression because it uses a logistic function to model a binary dependent variable.
The logistic function is an S-shaped curve that can take...
I applied via Company Website and was interviewed before Feb 2023. There were 2 interview rounds.
Coding python and sql related
I appeared for an interview in Aug 2017.
I appeared for an interview in Sep 2016.
I appeared for an interview before Nov 2016.
I appeared for an interview before Dec 2020.
Round duration - 120 Minutes
Round difficulty - Medium
Ninja, a new member of the FBI, has acquired some 'SECRET_INFORMATION' that he needs to share with his team. To ensure security against hackers, Ninja dec...
The task is to encode and decode 'SECRET_INFORMATION' for security purposes and determine if the transmission was successful.
Read the number of test cases 'T'
For each test case, encode the 'SECRET_INFORMATION' and then decode it
Compare the decoded string with the original 'SECRET_INFORMATION'
Print 'Transmission successful' if they match, else print 'Transmission failed'
Round duration - 60 Minutes
Round difficulty - Medium
Given an array Arr
consisting of N integers, your task is to find the equilibrium index of the array.
An index is considered as an equilibrium index if the sum of elem...
Find the equilibrium index of an array where sum of elements on left equals sum on right.
Iterate through the array and calculate prefix sum and suffix sum at each index.
Compare prefix sum and suffix sum to find equilibrium index.
Return the left-most equilibrium index or -1 if none found.
Round duration - 50 Minutes
Round difficulty - Easy
Tip 1 : Focus more on SQL
Tip 2 : Keep up with ongoing projects in the company
Tip 1 : Be honest about what you add.
Tip 2 : Don't forget to mention extra curriculars.
I applied via Walk-in and was interviewed before Jun 2020. There was 1 interview round.
I applied via Company Website and was interviewed before Jun 2020. There were 4 interview rounds.
MongoDB database algorithms are used for efficient data storage, retrieval, and processing.
MongoDB uses various algorithms for indexing, sharding, and aggregation.
Indexing algorithms include B-tree, hash, and text search indexes.
Sharding algorithms include range-based, hash-based, and zone-based sharding.
Aggregation algorithms include map-reduce and aggregation pipeline.
MongoDB also uses algorithms for query optimizati
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