HSBC Electronic Data Processing
Gayatri Engineering Company Interview Questions and Answers
Q1. To tell about regulatory reporting and RWA
Regulatory reporting is the process of providing information to regulatory bodies. RWA is a measure of a bank's risk exposure.
Regulatory reporting involves submitting data to regulatory bodies such as the SEC or FINRA.
This data includes financial statements, risk assessments, and other information required by regulators.
RWA stands for Risk Weighted Assets and is a measure of a bank's risk exposure.
It is calculated by assigning a risk weight to each asset on a bank's balance s...read more
Q2. Explain linear regression, cost function, Ridge and Lasso regression
Linear regression is a statistical technique to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict a continuous outcome variable based on one or more predictor variables.
The cost function measures the difference between the predicted values and the actual values in linear regression.
Ridge regression is a regularization technique that adds a penalty term to the cost function to prevent overfitting.
Lass...read more
Q3. Difference between pop and remove in python
pop() removes and returns the last element of a list, while remove() removes the first occurrence of a specified value.
pop() modifies the original list, while remove() only removes the specified value
pop() requires an index as an argument, while remove() requires the value to be removed
pop() returns the removed element, while remove() does not return anything
Q4. Difference between shallow copy and deep copy
Shallow copy only copies the references of objects, while deep copy creates new copies of objects.
Shallow copy creates a new object but does not create copies of nested objects.
Deep copy creates new copies of all nested objects.
Shallow copy is faster and more memory efficient, but changes to nested objects affect both copies.
Deep copy is slower and uses more memory, but changes to nested objects do not affect the original object.
Q5. Difference between mean, median and mode
Mean is the average of a set of numbers, median is the middle value, and mode is the most frequently occurring value.
Mean is calculated by summing all the values and dividing by the number of values.
Median is the middle value when the numbers are arranged in ascending or descending order.
Mode is the value that appears most frequently in the set of numbers.
Mean is affected by outliers, while median and mode are not.
For example, in the set of numbers [1, 2, 3, 4, 5], the mean i...read more
Q6. Explain missing value treatment
Missing value treatment refers to the process of handling and managing missing values in a dataset.
Missing values can occur when data is not collected or recorded for certain observations or variables.
Common methods for missing value treatment include deletion, imputation, and prediction.
Deletion involves removing observations or variables with missing values, but this can lead to loss of information.
Imputation replaces missing values with estimated or imputed values based on...read more
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