Dell
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I applied via Approached by Company and was interviewed in Oct 2021. There were 3 interview rounds.
Scenario based questions, SQL
Top trending discussions
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
Regression models the relationship between a dependent variable and one or more independent variables.
It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.
Examples include linear regression, polynomial regression, and logistic regression.
I expect challenging projects, opportunities for growth, collaborative team environment, and work-life balance.
Challenging projects that allow me to apply my data science skills and learn new techniques
Opportunities for growth and advancement within the company
Collaborative team environment where I can share ideas and work together towards common goals
Work-life balance to ensure I can perform at my best both profession
Topic was joining and calculating
posted on 2 Jan 2025
Basic python questions
XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.
XGBoost stands for eXtreme Gradient Boosting.
It is an implementation of gradient boosted decision trees designed for speed and performance.
XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.
It can handle missing data and is optimized for parallel processing.
XG...
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
Decision tree is a supervised learning algorithm used for classification and regression tasks.
It breaks down a dataset into smaller subsets based on different attributes.
Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...
I applied via Referral and was interviewed in Nov 2023. There were 2 interview rounds.
Ml algorithms ,deeplearning, nlp questioons and projects
Python basic codeing
Python test on list : reverse a list using a single array
Data ingestion architecture
I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.
I applied via Company Website and was interviewed in Jun 2023. There were 2 interview rounds.
I was asked to solve various problems (your typical algorithm and data structure subjects), as well as explain the various projects I worked on in my most recent position.
Divide candidates in a group of around 15 people, and put you through different activities such as role play exercises to measure your communication and team working skills.
I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.
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