i
Welspun Living Limited
Filter interviews by
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.
Tuples are immutable, while dictionaries are mutable.
Tuples are accessed using indexing, while dictionaries are accessed using keys.
Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.
Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.
Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.
It takes into account the number of predictors in the model and adjusts for the degrees of freedom.
Adjusted R square ranges from 0 to 1, where a higher value indic...
Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.
Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.
It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.
XG Boost, on the other hand, is a gradient boosting algorith...
Max pooling is a pooling operation that selects the maximum value from a region of the input data.
Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.
It reduces the spatial dimensions of the input data while retaining the most important features.
Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.
For example, in a 2x...
Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
Uses labeled training data to learn the mapping between input and output variables
The model is trained on a dataset where the correct output is known
Examples include classification and regression tasks
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization on new, unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too many branches that perfectly fits the training d
I applied via Referral and was interviewed in Dec 2022. There were 4 interview rounds.
Cas study on books library data
I appeared for an interview in Nov 2020.
Artificial intelligence
I appeared for an interview in Jan 2025.
Basic and general test
Testing common questions of aptitude
I applied via Naukri.com and was interviewed in Aug 2023. There was 1 interview round.
I applied via Walk-in and was interviewed before Sep 2021. There were 2 interview rounds.
Process of purchase, roles and responsibilities of purchaser
I applied via Job Portal and was interviewed in Nov 2023. There were 3 interview rounds.
Online assessment is process
based on 1 interview
Interview experience
Assistant Manager
358
salaries
| ₹3.8 L/yr - ₹12.7 L/yr |
Manager
158
salaries
| ₹6.5 L/yr - ₹21 L/yr |
Engineer
118
salaries
| ₹2.4 L/yr - ₹6.5 L/yr |
Officer
113
salaries
| ₹2.2 L/yr - ₹7.5 L/yr |
Assistant General Manager
103
salaries
| ₹10.8 L/yr - ₹37.2 L/yr |
Aditya Birla Fashion and Retail
Shahi Exports
Raymond Lifestyle Limited
Trident Group