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I applied via Campus Placement and was interviewed in Sep 2024. There was 1 interview round.
Decision tree is a tree-like model of decisions and their possible consequences, while random forest is an ensemble learning method that builds multiple decision trees and merges them together.
Decision tree is a flowchart-like structure where each internal node represents a decision based on an attribute, each branch represents the outcome of the decision, and each leaf node represents a class label.
Random forest is a ...
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I applied via Campus Placement and was interviewed in Nov 2024. There were 2 interview rounds.
The aptitude and verbal assessment, which was conducted through an online platform provided by the company, was at an easy to moderate level.
There are ten people in a group, and the discussion topic was the pros and cons of ChatGPT, with a primary focus on communication, in my understanding.
I applied via Campus Placement and was interviewed in Aug 2024. There was 1 interview round.
To insert a node in a binary search tree, compare the value of the node to be inserted with the current node and traverse left or right accordingly.
Start at the root node and compare the value of the node to be inserted with the current node.
If the value is less than the current node, move to the left child node. If it is greater, move to the right child node.
Repeat this process until reaching a leaf node, then insert ...
I applied via Naukri.com and was interviewed in Aug 2024. There were 3 interview rounds.
This was basic test nothing much . easy question s
2 dsa questions based on string manipulations
Info Edge interview questions for popular designations
Test 45 mins 30 ques
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that minimi...
Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.
Random forest is robust to overfitting and noisy data, and it can handle large datasets...
XGBoost is an optimized distributed gradient boosting library designed for efficient and accurate large-scale machine learning.
XGBoost stands for eXtreme Gradient Boosting.
It is a popular machine learning algorithm known for its speed and performance.
XGBoost is used for regression, classification, ranking, and user-defined prediction problems.
It is based on the gradient boosting framework and uses decision trees as bas...
Get interview-ready with Top Info Edge Interview Questions
Develop a comprehensive marketing plan for 99 acres to increase brand awareness and drive more leads.
Conduct market research to identify target audience and competitors
Create a strong online presence through SEO, social media, and targeted ads
Utilize email marketing campaigns to engage with potential customers
Collaborate with real estate agents and brokers for referrals and partnerships
Host virtual property tours and w...
Develop a comprehensive marketing plan for 99 acres to increase brand awareness and attract more customers.
Conduct market research to identify target audience and competitors
Utilize digital marketing strategies such as SEO, social media, and email campaigns
Collaborate with real estate agents and brokers to promote listings
Host virtual property tours and webinars to engage potential buyers
Offer special promotions or dis
LSTM and GRU are types of recurrent neural networks used for processing sequential data.
LSTM (Long Short-Term Memory) networks are capable of learning long-term dependencies in data.
GRU (Gated Recurrent Unit) networks are simpler than LSTM and have fewer parameters.
LSTM has three gates (input, output, forget) while GRU has two gates (update, reset).
LSTM is better at capturing long-term dependencies but is more complex,...
Hypothesis testing is a statistical method used to make inferences about a population based on sample data.
Hypothesis testing involves formulating a null hypothesis and an alternative hypothesis.
It aims to determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.
Common methods of hypothesis testing include t-tests, chi-square tests, and ANOVA.
The p-value is used to dete...
Logical reasoning, Quantitative aptitude
Array,Strings,DSA concepts like searching algorithm
I applied via Approached by Company and was interviewed in Jun 2024. There were 3 interview rounds.
Key components and design principles of pipeline architecture
Key components: Source, Processor, Sink
Design principles: Scalability, Reliability, Maintainability
Examples: Apache Kafka, Apache NiFi, AWS Data Pipeline
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