i
Filter interviews by
Clear (1)
Technical and Code Snippet MCQs
I applied via Campus Placement and was interviewed before Nov 2023. There was 1 interview round.
Top trending discussions
I applied via Campus Placement
Basic questions on data science, machine learning
I applied via Approached by Company and was interviewed in Jun 2022. There were 5 interview rounds.
I applied via Job Fair and was interviewed in May 2024. There was 1 interview round.
I have learned multiple programming languages including Python, R, SQL, and Java.
Python
R
SQL
Java
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.
RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.
LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.
LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.
L...
Evaluation matrices are used to assess the performance of models in data science.
Confusion matrix: used to evaluate the performance of classification models.
Precision, recall, and F1 score: measures for binary classification models.
Mean squared error (MSE): evaluates the performance of regression models.
R-squared: assesses the goodness of fit for regression models.
Area under the ROC curve (AUC-ROC): evaluates the perfo...
posted on 29 Nov 2024
I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Collected and cleaned customer data including usage patterns and demographics
Used classification algorithms like Random Forest and Logistic Regression to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Math, English, reasoning
I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.
It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.
I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.
I have used various algorithms such as linear regression, decision trees, and neural networks to analyze data and make predictions.
Used linear regression to predict housing prices based on various features
Implemented decision trees to classify customer behavior and recommend products
Utilized neural networks for image recognition tasks
Challenges included dealing with missing data and overfitting
Outcome was improved accu
The algorithm was chosen based on its ability to handle large datasets and its accuracy in predicting outcomes.
The algorithm was selected after evaluating its performance on similar datasets.
It was chosen for its ability to handle high-dimensional data and its scalability.
The algorithm was compared to other models and found to have the highest accuracy in predicting outcomes.
The choice of algorithm also depends on the
based on 3 interviews
Interview experience
based on 14 reviews
Rating in categories
Senior Engineer
1k
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Technical Lead
858
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Consultant
750
salaries
| ₹0 L/yr - ₹0 L/yr |
Principal Consultant
556
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Software Engineer
516
salaries
| ₹0 L/yr - ₹0 L/yr |
Bosch Global Software Technologies
Qualcomm
Tata Motors
BMW