i
phData
Filter interviews by
Top trending discussions
I applied via Campus Placement and was interviewed before Apr 2021. There were 2 interview rounds.
Basic gocube test
I applied via Recruitment Consulltant and was interviewed before Aug 2021. There were 3 interview rounds.
Basic Logical Reasoning, Maths questions
I applied via Job Fair and was interviewed before Feb 2021. There was 1 interview round.
I can code a program in Python and Java.
I am proficient in both Python and Java programming languages.
I have experience in developing web applications using Python and Java frameworks.
I can write efficient and optimized code in both languages.
I can develop programs for data analysis, machine learning, and automation using Python.
I can develop enterprise-level applications using Java.
Examples: Python - a program to scra...
I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.
I applied via Approached by Company and was interviewed before Feb 2023. There were 2 interview rounds.
General aptitude test on an online platform with camera and mic monitoring.
Aptitude test was on hirepro having logical,quat,verbal, technical questions
I was interviewed in Aug 2023.
Logical, statistics, Aptitude, Data science and analytics
Delete removes specific rows from a table, while Truncate removes all rows from a table.
Delete is a DML command, while Truncate is a DDL command.
Delete can be rolled back, while Truncate cannot be rolled back.
Delete maintains the table structure and indexes, while Truncate resets the table structure and indexes.
Delete triggers delete triggers and delete constraints, while Truncate does not trigger any triggers or const...
Assumptions of regression
Linearity: The relationship between the independent and dependent variables is linear.
Independence: The residuals are independent of each other.
Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Normality: The residuals are normally distributed.
No multicollinearity: The independent variables are not highly correlated with each other.
I applied via Company Website and was interviewed in Dec 2023. There were 2 interview rounds.
Ridge and lasso regression are both regularization techniques used in linear regression to prevent overfitting by adding penalty terms to the cost function.
Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients, while lasso regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients.
Ridge regression tends to shrink the coefficients towards zer...
Random forest is an ensemble method using multiple decision trees, XGBoost is a gradient boosting algorithm that builds trees sequentially.
Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Decision tree is a single tree model that makes decisions based on features to predict outcomes.
XGBoost is a gradient boosting algorithm that builds trees sequentially, op...
based on 4 reviews
Rating in categories
Data Engineer
35
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Data Engineer
21
salaries
| ₹0 L/yr - ₹0 L/yr |
Associate Data Engineer
19
salaries
| ₹0 L/yr - ₹0 L/yr |
Solution Architect
13
salaries
| ₹0 L/yr - ₹0 L/yr |
Devops Engineer
10
salaries
| ₹0 L/yr - ₹0 L/yr |
Fractal Analytics
Mu Sigma
LatentView Analytics
Tiger Analytics