i
IndusInd Bank
Filter interviews by
I applied via Naukri.com and was interviewed before Aug 2020. There were 3 interview rounds.
t-test is a statistical test used to determine if there is a significant difference between the means of two groups.
It compares the means of two groups and assesses if the difference is statistically significant.
It is commonly used in hypothesis testing and comparing the effectiveness of different treatments or interventions.
There are different types of t-tests, such as independent samples t-test and paired samples t-t...
A z-test is a statistical test used to determine whether two population means are significantly different from each other.
It is used when the sample size is large and the population standard deviation is known.
The test compares the sample mean to the population mean using the z-score formula.
The z-score is calculated as the difference between the sample mean and population mean divided by the standard deviation.
If the ...
Linear regression is a statistical method used to model the relationship between two variables.
It assumes a linear relationship between the dependent and independent variables.
It is used to predict the value of the dependent variable based on the value of the independent variable.
It can be used for both simple and multiple regression analysis.
Example: predicting the price of a house based on its size or predicting the ...
Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.
It is used to predict the probability of a binary outcome (0 or 1).
It is a type of regression analysis that uses a logistic function to model the relationship between the dependent and independent variables.
It is commonly used in machine learning and data analy...
The formula of logistic regression is a mathematical equation used to model the relationship between a binary dependent variable and one or more independent variables.
The formula is: log(odds) = β0 + β1x1 + β2x2 + ... + βnxn
The dependent variable is transformed using the logit function to obtain the log-odds ratio.
The independent variables are multiplied by their respective coefficients (β) and summed up with the inter...
Logistic regression is used for binary classification, while linear regression is used for predicting continuous values.
Logistic regression is a classification algorithm, while linear regression is a regression algorithm.
Logistic regression uses a logistic function to model the probability of the binary outcome.
Linear regression uses a linear function to model the relationship between the independent and dependent vari...
Model accuracy can be measured using metrics such as confusion matrix, ROC curve, and precision-recall curve.
Confusion matrix shows true positives, true negatives, false positives, and false negatives.
ROC curve plots true positive rate against false positive rate.
Precision-recall curve plots precision against recall.
Other metrics include accuracy, F1 score, and AUC-ROC.
Cross-validation can also be used to evaluate mode
AUC-ROC curve is a graphical representation of the performance of a classification model.
AUC-ROC stands for Area Under the Receiver Operating Characteristic curve.
It is used to evaluate the performance of binary classification models.
The curve plots the true positive rate (sensitivity) against the false positive rate (1-specificity) at various classification thresholds.
AUC-ROC ranges from 0 to 1, with a higher value in...
A random forest is an ensemble learning method that combines multiple decision trees to make predictions.
Random forest is a supervised learning algorithm.
It can be used for both classification and regression tasks.
It creates multiple decision trees and combines their predictions to make a final prediction.
Each decision tree is trained on a random subset of the training data and features.
Random forest reduces overfittin...
Random forest is an ensemble learning method that uses multiple decision trees to improve prediction accuracy.
Random forest builds multiple decision trees and combines their predictions to reduce overfitting.
Decision trees are prone to overfitting and can be unstable, while random forest is more robust.
Random forest can handle missing values and categorical variables better than decision trees.
Example: Random forest ca...
Top trending discussions
I applied via Walk-in and was interviewed in Apr 2021. There was 1 interview round.
I applied via LinkedIn and was interviewed before Sep 2023. There were 2 interview rounds.
Basic python ,sql questions
List, tuple, set, and dict comprehensions are concise ways to create these data structures in Python.
List comprehension: [x for x in range(10)]
Tuple comprehension does not exist in Python, as tuples are immutable.
Set comprehension: {x for x in range(10)}
Dict comprehension: {x: x**2 for x in range(10)}
DAX (Data Analysis Expressions) is a formula language used in Power BI, Excel, and other Microsoft tools for data analysis.
DAX is used to create custom calculations, measures, and columns in data models.
It is similar to Excel formulas but optimized for data analysis.
DAX functions can be used to manipulate and analyze data in Power BI reports.
Examples of DAX functions include SUM, AVERAGE, CALCULATE, and RELATED.
To delete duplicates, use SQL query with DISTINCT keyword or remove duplicates programmatically in Python using sets.
Use SQL query with DISTINCT keyword to remove duplicates from a database table
In Python, remove duplicates from a list using sets: list(set(original_list))
For pandas DataFrame, drop duplicates using df.drop_duplicates()
posted on 21 Oct 2024
I applied via Recruitment Consulltant and was interviewed in Sep 2024. There were 4 interview rounds.
Basic hacker rank problem
posted on 22 Aug 2022
I applied via Company Website and was interviewed in Jul 2022. There were 2 interview rounds.
General knowledge and development skills and new things..
I applied via Approached by Company and was interviewed before Dec 2021. There were 2 interview rounds.
posted on 4 Jan 2025
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.
List is mutable, tuple is immutable in Python.
List can be modified after creation, tuple cannot.
List uses square brackets [], tuple uses parentheses ().
List is used for collections of items that may change, tuple for fixed collections.
Example: list - [1, 2, 3], tuple - (1, 2, 3)
An easy coding round was conducted that involved SQL questions.
An easy one-hour discussion based on the resume.
based on 1 review
Rating in categories
Deputy Manager
3.7k
salaries
| ₹0 L/yr - ₹0 L/yr |
Assistant Manager
2.3k
salaries
| ₹0 L/yr - ₹0 L/yr |
Manager
2k
salaries
| ₹0 L/yr - ₹0 L/yr |
Service Delivery Manager
1.6k
salaries
| ₹0 L/yr - ₹0 L/yr |
Deputy Branch Manager
1.5k
salaries
| ₹0 L/yr - ₹0 L/yr |
HDFC Bank
ICICI Bank
Axis Bank
Kotak Mahindra Bank