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I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.
Very easy to solve the problem
Top trending discussions
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Python code to find the root of a number
Use the math module to access the sqrt() function
Use the ** operator to raise the number to the power of 1/n
Handle negative numbers by converting them to complex numbers
posted on 7 Apr 2023
Level was easy to medium you can easily clear it if you have basic knowledge.
Level was medium you should have strong command of your respective language.
I applied via Campus Placement and was interviewed before Nov 2023. There were 2 interview rounds.
Basic Maths, Probability, Coding Questions
Writing codes to basic questions
I appeared for an interview before Jan 2024.
It was related to a Food & Beverage Industry Data
I applied via Approached by Company and was interviewed in Oct 2022. There were 3 interview rounds.
General computer knowledge test
Program writing in computer basic ideas
I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
I applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.
Create a business requirement document
Strengths include strong analytical skills and attention to detail. Weaknesses may include difficulty with public speaking and time management.
Strengths: strong analytical skills
Strengths: attention to detail
Weaknesses: difficulty with public speaking
Weaknesses: time management
I appeared for an interview before Mar 2024, where I was asked the following questions.
based on 3 interviews
Interview experience
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