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I was interviewed in Oct 2023.
Some basic aptitude , data analysis
I applied via Campus Placement and was interviewed before May 2023. There were 3 interview rounds.
CS Fundamentals and Aptitude
I applied via Referral and was interviewed before Mar 2021. There were 4 interview rounds.
Profit and loss scenario based case study
Top trending discussions
I applied via Job Fair and was interviewed before Feb 2021. There was 1 interview round.
I can code a program in Python and Java.
I am proficient in both Python and Java programming languages.
I have experience in developing web applications using Python and Java frameworks.
I can write efficient and optimized code in both languages.
I can develop programs for data analysis, machine learning, and automation using Python.
I can develop enterprise-level applications using Java.
Examples: Python - a program to scra...
I applied via Recruitment Consulltant and was interviewed before Aug 2021. There were 3 interview rounds.
Basic Logical Reasoning, Maths questions
I applied via Campus Placement and was interviewed before Apr 2021. There were 2 interview rounds.
Basic gocube test
I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.
I applied via Company Website and was interviewed in Dec 2023. There were 2 interview rounds.
Ridge and lasso regression are both regularization techniques used in linear regression to prevent overfitting by adding penalty terms to the cost function.
Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients, while lasso regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients.
Ridge regression tends to shrink the coefficients towards zer...
Random forest is an ensemble method using multiple decision trees, XGBoost is a gradient boosting algorithm that builds trees sequentially.
Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Decision tree is a single tree model that makes decisions based on features to predict outcomes.
XGBoost is a gradient boosting algorithm that builds trees sequentially, op...
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