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Orange Education Intern Interview Questions and Answers
Orange Education Intern Interview Experiences
1 interview found
Anonymous
Selected
I applied via Company Website and was interviewed in Nov 2023. There was 1 interview round.
Build a mobile app with certain requirements.
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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
Interview Preparation Tips
- Python
- SQL
Varinder Kalyan
I applied via campus placement at University College of Engineering, Punjabi University, Patiala and was interviewed in Oct 2022. There were 2 interview rounds.
Company asked to choose three subjects from total six and set a 10 MCQ questions for each of the subject and 10 questions for aptitude.
(2 Questions)
- Q1. Questions regarding operating system and computer networks
- Q2. One domain subject you are working on.
- Ans.
Natural Language Processing
Developing chatbots using NLP techniques
Sentiment analysis of customer reviews
Text classification for news articles
Named entity recognition for medical records
Interview Preparation Tips
- Operating Systems
- Computer Networking
- Machine Learning
Skills evaluated in this interview
2 coding questions were given , Running atleast one question with all test cases passing is mandatory.
(2 Questions)
- Q1. Bit manipulation question(asked to write atleast pseudo code)
- Q2. Array based question(asked to write atleast pseudo code)
Interview Preparation Tips
Selected
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
(3 Questions)
- 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.
- 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...
- 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 ...
Interview Preparation Tips
Skills evaluated in this interview
I applied via campus placement at University College of Engineering, Punjabi University, Patiala and was interviewed in Oct 2022. There were 2 interview rounds.
Company asked to choose three subjects from total six and set a 10 MCQ questions for each of the subject and 10 questions for aptitude.
(2 Questions)
- Q1. Questions regarding operating system and computer networks
- Q2. One domain subject you are working on.
- Ans.
Natural Language Processing
Developing chatbots using NLP techniques
Sentiment analysis of customer reviews
Text classification for news articles
Named entity recognition for medical records
Interview Preparation Tips
- Operating Systems
- Computer Networking
- Machine Learning
Skills evaluated in this interview
Shivani Mukunde
(2 Questions)
- Q1. Python program questions
- Q2. OOPS based programming questions
Selected
(1 Question)
- Q1. DSA - Linked List, Array and Strings
(1 Question)
- Q1. Why should we hire you
(1 Question)
- Q1. C and Cpp all concepts
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
Interview Preparation Tips
- Python
- SQL
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