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I applied via Naukri.com and was interviewed in Apr 2024. There were 3 interview rounds.
Very Hard coding round
Bessel correction is a method used to correct the bias in sample variance estimation.
Bessel correction is used to adjust the sample variance to provide an unbiased estimate of the population variance.
It involves dividing the sum of squared differences by (n-1) instead of n, where n is the sample size.
This correction accounts for the fact that sample variance tends to underestimate the population variance.
For example, i...
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I applied via Campus Placement and was interviewed before Mar 2021. There were 4 interview rounds.
90 minute test on hacker rank consisting of 3 coding questions all of medium difficulty. Most candidates are required to solve more than 1 question.
Find the lowest common ancestor of a binary tree.
Traverse the tree recursively from the root node.
If the current node is null or matches either of the given nodes, return the current node.
Recursively search for the nodes in the left and right subtrees.
If both nodes are found in different subtrees, return the current node.
If both nodes are found in the same subtree, continue the search in that subtree.
Find first missing positive integer from an array of non-negative integers.
Create a hash set to store all positive integers in the array
Loop through the array and add all positive integers to the hash set
Loop through positive integers starting from 1 and return the first missing integer not in the hash set
Design a parking lot
Consider the size and capacity of the parking lot
Decide on the layout and organization of parking spaces
Implement a system to manage parking availability and reservations
Include features like ticketing, payment, and security
Consider scalability and future expansion
Group list of strings into distinct anagrams.
Create a hash table with sorted string as key and list of anagrams as value.
Iterate through the list of strings and add each string to its corresponding anagram list in the hash table.
Return the values of the hash table as a list of lists.
posted on 12 Apr 2021
I applied via Campus Placement and was interviewed before Apr 2020. There were 3 interview rounds.
Different types of learning include supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and transfer learning.
Supervised learning: Training a model using labeled data to make predictions or classifications.
Unsupervised learning: Training a model on unlabeled data to discover patterns or relationships.
Semi-supervised learning: Combining labeled and unlabeled data for training.
Re...
ML algorithms are techniques used to train models to make predictions or decisions based on data.
Supervised learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors
Unsupervised learning algorithms: K-means clustering, hierarchical clustering, principal component analysis
Reinforcement learning algorithms: Q-learning, SARSA
Deep learning algo...
Regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.
Regression is used to predict continuous numerical values.
It helps in identifying the strength and direction of the relationship between variables.
Linear regression is a common type of regression used to model the relationship between two variables.
Examples of regression include predict...
Naive Bayes is a probabilistic algorithm that uses Bayes' theorem to classify data based on prior knowledge.
Naive Bayes assumes that all features are independent of each other.
It is commonly used for text classification and spam filtering.
There are three types of Naive Bayes classifiers: Gaussian, Multinomial, and Bernoulli.
It is a fast and simple algorithm that works well with high-dimensional datasets.
Naive Bayes can...
posted on 22 Dec 2021
I applied via Naukri.com and was interviewed before Dec 2020. There were 4 interview rounds.
I applied via Approached by Company and was interviewed before Sep 2023. There were 4 interview rounds.
Hackerearth platform was provided , Question was based on Tree dsa. Need to run and pass few test cases.
Design patterns , chess LLD
Design blocking queue which can handle the multithreading scenario
Developed a web application for tracking inventory and sales data
Used React for front-end development
Implemented RESTful APIs using Node.js and Express
Utilized MongoDB for database management
posted on 18 Aug 2022
I applied via Campus Placement and was interviewed in Jul 2022. There were 3 interview rounds.
Questions based or percentage, profit loss, ratio
Stacks are a data structure that follows the Last In First Out (LIFO) principle.
Elements are added and removed from the top of the stack
Common operations include push (add element) and pop (remove element)
Stacks can be implemented using arrays or linked lists
Examples of stack usage include function call stack and undo/redo functionality in text editors
To find the middle number in a linked list.
Traverse the linked list using two pointers, one moving twice as fast as the other.
When the fast pointer reaches the end, the slow pointer will be at the middle node.
If the linked list has even number of nodes, there will be two middle nodes. Return either one.
I applied via Campus Placement
Dsa problems dp and tress problem
I am a passionate software engineer with 5 years of experience in developing web applications using various technologies.
5 years of experience in software development
Proficient in developing web applications
Skilled in using various technologies
Passionate about software engineering
The test was in hackerrank platform, it was moderate level.
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
Dp, trees and basic time complexity
I am a software engineer with 5 years of experience in developing web applications using Java, Spring, and Angular.
5 years of experience in software development
Proficient in Java, Spring, and Angular
Strong problem-solving skills
Experience working in Agile development environment
I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.
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