Change Networks Interview Questions and Answers

Q1. Application of PE in EV
Ans. 
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 ...read more
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Q2. Working of Inverter and rectifier.
Ans. 
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.
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Q1. Python basics and modules
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Q2. Networking protocols basic networking
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Q1. C and Cpp all concepts
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Q1. DSA - Linked List, Array and Strings
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Q1. Why should we hire you
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Q1. What is hyperparameter tuning?
Ans. 
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.
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Q2. How do we train neural networks?
Ans. 
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...read more
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Q3. What is overfitting?
Ans. 
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 ...read more
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Aptitude was quite easy with simple python questions

Asked basic questions on numpy and pandas

Q1. Python program questions
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Q2. OOPS based programming questions
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