Vardhman Fabrics Data Operator Interview Questions and Answers

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Q1. Do you have any offer in hand
Ans. 
Yes, I have received an offer from another company.
• Received offer from Company XYZ for Data Analyst position

• Currently evaluating the offer and considering my options

• No decision has been made yet
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Q1. What's your skills
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Q2. What are you doing to leave
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Q3. Are you fresher and qualify
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Q4. How old are you
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Q1. Difference between Tuple and Dictionary
Ans. 
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.
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Q2. What is Adjusted R square
Ans. 
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...read more
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Q3. Which is better Random forest or XG Boost
Ans. 
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...read more
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Q4. What is Max pooling
Ans. 
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...read more
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Q1. Questions on cloud computing
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Q1. Man power handle
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Q2. How to work in sap
Ans. 
Working in SAP involves entering and managing data in the SAP system.
• Understand the SAP system and its modules

• Enter data accurately and efficiently

• Manage and update data as needed

• Use SAP transactions and reports to retrieve information

• Follow company guidelines and procedures for data entry in SAP
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Q1. What's your qualification and tell me about your self introduction
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Q1. What is supervised learning
Ans. 
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
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Q2. What is overfitting
Ans. 
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
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