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I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
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I applied via Campus Placement and was interviewed in Sep 2022. There were 2 interview rounds.
PE can be applied in EVs for lightweighting, improved performance, and increased range.
PE can be used in the body and chassis of EVs to reduce weight and increase energy efficiency.
PE-based composites can be used in battery enclosures to improve safety and reduce weight.
PE foam can be used as insulation to improve thermal management and increase range.
PE-based adhesives can be used in the assembly of EV components for ...
Inverter converts DC to AC while rectifier converts AC to DC.
Inverter uses electronic switches to convert DC to AC.
Rectifier uses diodes to convert AC to DC.
Inverter is used in solar panels to convert DC to AC for household use.
Rectifier is used in power supplies to convert AC to DC for electronic devices.
Inverter and rectifier are opposite in function but can be used together in some applications.
I applied via Naukri.com and was interviewed in Apr 2021. There was 1 interview round.
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the des...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early ...
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
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