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I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
2 questions based on coding
Reverse a given string
Use built-in functions like reverse() or slice() in Python
Iterate through the string in reverse order and append each character to a new string
Convert the string to an array of characters, reverse the array, then join the characters back together
A linked list is a data structure in Java where each element points to the next element in the list.
Linked list nodes contain data and a reference to the next node
Insertion and deletion operations are efficient in linked lists
Traversal requires iterating through each node starting from the head
Example: Node class with data and next pointer, LinkedList class with methods to insert, delete, and traverse
I applied via Referral and was interviewed before Aug 2023. There was 1 interview round.
Overfitting occurs when a model learns the training data too well, leading to poor performance on new, unseen data.
Overfitting occurs 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 test data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too ma...
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
2 questions based on coding
Reverse a given string
Use built-in functions like reverse() or slice() in Python
Iterate through the string in reverse order and append each character to a new string
Convert the string to an array of characters, reverse the array, then join the characters back together
A linked list is a data structure in Java where each element points to the next element in the list.
Linked list nodes contain data and a reference to the next node
Insertion and deletion operations are efficient in linked lists
Traversal requires iterating through each node starting from the head
Example: Node class with data and next pointer, LinkedList class with methods to insert, delete, and traverse
I applied via Referral and was interviewed before Aug 2023. There was 1 interview round.
Overfitting occurs when a model learns the training data too well, leading to poor performance on new, unseen data.
Overfitting occurs 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 test data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too ma...
I applied via Referral and was interviewed in Feb 2020. There were 5 interview rounds.
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