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Data Sutram
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I was interviewed in Jul 2022.
Be well versed with pandas and numpy
DBSCAN is a density-based clustering algorithm that groups together points that are close to each other.
DBSCAN stands for Density-Based Spatial Clustering of Applications with Noise
It is good for identifying clusters of arbitrary shape and handling noise/outliers
It does not require the number of clusters to be specified beforehand
It works by defining a neighborhood around each point and grouping together points that ha...
PCA is used for dimensionality reduction to reduce the number of features in a dataset while retaining most of the information.
PCA helps in reducing the computational complexity of a model by reducing the number of features.
It helps in identifying the most important features in a dataset.
It can be used to visualize high-dimensional data in a lower-dimensional space.
PCA assumes that the data is linearly related and norm...
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.
based on 4 reviews
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