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Brane Enterprises
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Brane Enterprises Data Scientist Interview Questions and Answers
Brane Enterprises Data Scientist Interview Experiences
3 interviews found
Anonymous
It contain both Aptitude and Coding about base models and Deep learning too
(2 Questions)
- Q1. What different models technique ?
- Ans.
Different models techniques include linear regression, decision trees, random forests, support vector machines, and neural networks.
Linear regression is used for predicting continuous values.
Decision trees are used for classification and regression tasks.
Random forests are an ensemble method based on decision trees.
Support vector machines are used for classification tasks.
Neural networks are used for complex pattern re
- Q2. What are performance metric where to use what?
- Ans.
Different performance metrics are used for different types of machine learning models to evaluate their effectiveness.
For classification models, metrics like accuracy, precision, recall, F1 score, and ROC-AUC are commonly used.
For regression models, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared are commonly used.
For clustering models, metrics like silhouette score and Davies-Bouldin in...
(2 Questions)
- Q1. Explain about Project
- Q2. What are problems faced in that project?
Skills evaluated in this interview
(1 Question)
- Q1. Basic questions on resume back propagation , gradient descent , activation functions and what is the significance why resnet , vanishing gradient poroblem
I was interviewed in Oct 2023.
(1 Question)
- Q1. Resume based questions
(1 Question)
- Q1. In depth ML and DL
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
(3 Questions)
- Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
- Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
- Ans.
Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.
Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.
Adam optimizer uses adaptive learning rates for each parameter.
Gradient Descent optimizer has a fixed learning rate for all parameters.
Adam optimizer includes momentum to speed up convergence.
Gradient Descent optimizer updates parameters b...
- Q3. When to use Relu and when not?
- Ans.
Use ReLU for hidden layers in deep neural networks, avoid for output layers.
ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.
Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.
Consider using Leaky ReLU or Sigmoid for output layers depending on the task.
ReLU is computationally efficient and helps in preventing the vanishing gradient prob...
Skills evaluated in this interview
Abhilasha Dimble
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
(1 Question)
- Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...
Interview Preparation Tips
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.
Standard question from sql and python in hackerrank
(2 Questions)
- Q1. Reverse a linked list
- Ans.
Reverse a linked list by changing the direction of pointers
Start with three pointers: current, previous, and next
Iterate through the linked list, updating pointers to reverse the direction
Return the new head of the reversed linked list
- Q2. Question based on joins and subquery
(2 Questions)
- Q1. More question about project
- Q2. What do you know about genAI
Interview Preparation Tips
Skills evaluated in this interview
(3 Questions)
- Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
- Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
- Ans.
Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.
Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.
Adam optimizer uses adaptive learning rates for each parameter.
Gradient Descent optimizer has a fixed learning rate for all parameters.
Adam optimizer includes momentum to speed up convergence.
Gradient Descent optimizer updates parameters b...
- Q3. When to use Relu and when not?
- Ans.
Use ReLU for hidden layers in deep neural networks, avoid for output layers.
ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.
Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.
Consider using Leaky ReLU or Sigmoid for output layers depending on the task.
ReLU is computationally efficient and helps in preventing the vanishing gradient prob...
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
(1 Question)
- Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...
Interview Preparation Tips
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.
Standard question from sql and python in hackerrank
(2 Questions)
- Q1. Reverse a linked list
- Ans.
Reverse a linked list by changing the direction of pointers
Start with three pointers: current, previous, and next
Iterate through the linked list, updating pointers to reverse the direction
Return the new head of the reversed linked list
- Q2. Question based on joins and subquery
(2 Questions)
- Q1. More question about project
- Q2. What do you know about genAI
Interview Preparation Tips
Skills evaluated in this interview
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Brane Enterprises Interviews By Designations
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Brane Enterprises Data Scientist Interview Process
based on 3 interviews
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Brane Enterprises Data Scientist Reviews and Ratings
based on 12 reviews
Rating in categories
|
Associate Solution Lead
596
salaries
|  ₹6.5 L/yr - ₹24 L/yr |
|
Solution Lead
261
salaries
| ₹12 L/yr - ₹45 L/yr |
|
Product Manager
188
salaries
| ₹10.8 L/yr - ₹40 L/yr |
|
Software Developer
103
salaries
| ₹7 L/yr - ₹26 L/yr |
|
Business Analyst
101
salaries
| ₹4 L/yr - ₹12 L/yr |
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