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Technical and Code Snippet MCQs
I applied via campus placement at National Institute of Technology, Surathkal and was interviewed before Nov 2023. There was 1 interview round.
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I was interviewed in May 2024.
Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.
Maths involves the study of numbers, quantities, shapes, and patterns.
Stats involves collecting, analyzing, interpreting, and presenting data.
Maths is used to solve equations, calculate probabilities, and model real-world phenomena.
Stats is used to make informed decisions, draw conclusions, and test hypotheses.
Both ma...
Confusion matrix what are your job rolls explain me Gradient boosting algorithm?
I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.
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.
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...
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
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
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...
posted on 28 Feb 2024
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
PCA is used to reduce the dimensionality of data by finding the most important features.
PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.
It helps in visualizing data in lower dimensions while retaining as much variance as possible.
PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.
I applied via Referral and was interviewed before Dec 2021. There was 1 interview round.
Linear Regression predicts continuous values while Logistic Regression predicts binary outcomes.
Linear Regression is used for predicting continuous values while Logistic Regression is used for predicting binary outcomes.
Linear Regression uses a linear approach to model the relationship between dependent and independent variables while Logistic Regression uses a logistic function to model the probability of a binary out...
posted on 28 Mar 2022
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