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I applied via Walk-in and was interviewed in Dec 2021. There were 3 interview rounds.
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I applied via Naukri.com
This is the round in which basic quant questions were asked
In this round basic 2 java questions were asked
In this round one topic was given and we need to discuss about that topic
Java is a high-level, object-oriented programming language used to develop applications for various platforms.
Java is platform-independent, meaning it can run on any platform with a Java Virtual Machine (JVM)
It is known for its security features, such as the ability to run code in a sandbox environment
Java is used for developing a wide range of applications, from web applications to mobile apps and games
It is also used...
Searching is finding a specific item in a collection of items. Sorting is arranging items in a specific order.
Searching involves looking for a specific item in a collection of items.
Sorting involves arranging items in a specific order, such as alphabetical or numerical.
Searching and sorting are commonly used in computer science and data analysis.
Examples of searching algorithms include linear search and binary search.
E...
A binary tree is a data structure consisting of nodes, where each node has at most two children.
Nodes in a binary tree have a left and/or right child node.
The topmost node is called the root node.
Binary trees are used in search algorithms and data compression.
Examples of binary trees include binary search trees and heap trees.
SQL test on Select query, insert, create
Easy and moderate level question
Given a relevant topic and discussion on it
Reasoning and aptitude questions were asked
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
ETL stands for Extract, Transform, Load
Extract: Involves extracting data from various sources such as databases, applications, and files
Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...
Forecasting problem - Predict daily sku level sales
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
Bias is the error introduced by approximating a real-world problem, leading to underfitting.
Variance is the error introduced by modeling the noise in the training data, leading to overfitting.
High bias can cause a model to miss relevant relationships between features and target variable.
High variance can cause a model to ...
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.
Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.
Examples of parametric models inc...
posted on 29 Feb 2024
I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.
posted on 9 May 2017
I was interviewed before May 2016.
based on 1 review
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