Talentica Software Data Scientist Interview Questions and Answers

The first was a mcq based coding round for campus placement

This was a pairing coding round

Q1. Explain different unsupervised algo
Ans. 
Unsupervised algorithms are used to find patterns in data without labeled outcomes.
• K-means clustering: partitions data into K clusters based on similarity

• Hierarchical clustering: creates a tree of clusters based on similarity

• Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components

• Association rule mining: discovers interesting relationships between variables in large datasets
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Q1. Asked about past experience ? Information about current project ? ?
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Q2. AWS and data science question
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Questions related to Pandas, List, String

Q1. 1) How decision tree works 2) what are the parameters used in OpenCV?
Ans. 
Decision tree is a tree-like model used for classification and regression. OpenCV parameters include image processing and feature detection.
• Decision tree is a supervised learning algorithm that recursively splits the data into subsets based on the most significant attribute.

• It is used for both classification and regression tasks.

• OpenCV parameters include image processing techniques like smoothing, thresholding, and mor...read more
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Q1. Coding question of finding index of 2 nos. having total equal to target in a list, without using nested for loop? l= [2,15,5,7] t= 9 output》》[0,3]
Ans. 
Finding index of 2 numbers having total equal to target in a list without nested for loop.
• Use dictionary to store the difference between target and each element of list.

• Iterate through list and check if element is in dictionary.

• Return the indices of the two elements that add up to target.
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Q2. What is random forest, knn?
Ans. 
Random forest and KNN are machine learning algorithms used for classification and regression tasks.
• Random forest is an ensemble learning method that constructs multiple decision trees and combines their outputs to make a final prediction.

• KNN (k-nearest neighbors) is a non-parametric algorithm that classifies new data points based on the majority class of their k-nearest neighbors in the training set.

• Random forest is us...read more
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Q1. Ll coding on python dictionary
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Q2. Find unique keys in 2 dictionaries
Ans. 
To find unique keys in 2 dictionaries.
• Create a set of keys for each dictionary

• Use set operations to find the unique keys

• Return the unique keys
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Q3. Aws ec2 model deployment procedure
Ans. 
AWS EC2 model deployment involves creating an instance, installing necessary software, and deploying the model.
• Create an EC2 instance with the desired specifications

• Install necessary software and dependencies on the instance

• Upload the model and any required data to the instance

• Deploy the model using a web server or API

• Monitor the instance and model performance for optimization
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Q4. Overloading concept of oop
Ans. 
Overloading is the ability to define multiple methods with the same name but different parameters.
• Overloading allows for more flexibility in method naming and improves code readability.

• Examples include defining multiple constructors for a class with different parameter lists or defining a method that can accept different data types as input.

• Overloading is resolved at compile-time based on the number and types of argume...read more
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Q1. Basic pandas questions on dataframes
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Q2. Some quiz questions
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