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I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
Evaluation metrics and assumptions in linear regression
Evaluation metrics in linear regression include Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-squared, and Adjusted R-squared.
Assumptions of linear regression include linearity, independence, homoscedasticity, and normality of residuals.
Example: MSE = sum((actual - predicted)^2) / n
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
Related to basic statistics, and case study on sample design
I was interviewed in May 2024.
Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.
Maths involves the study of numbers, quantities, shapes, and patterns.
Stats involves collecting, analyzing, interpreting, and presenting data.
Maths is used to solve equations, calculate probabilities, and model real-world phenomena.
Stats is used to make informed decisions, draw conclusions, and test hypotheses.
Both ma...
Confusion matrix what are your job rolls explain me Gradient boosting algorithm?
I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.
Working on aeronautical problems for different clients
posted on 6 May 2024
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
I applied via Campus Placement
Bulb and switch puzzle
Rope burning and length question
posted on 7 Oct 2023
Basic DP, Array Questions
I applied via Recruitment Consulltant and was interviewed before Aug 2023. There were 2 interview rounds.
Easy array questions.
Developed a machine learning model to predict customer churn for a telecom company.
Used Python and scikit-learn to preprocess data and build the model
Performed feature engineering to improve model performance
Evaluated model using metrics like accuracy, precision, and recall
I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
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