Axtria Analyst Interview Questions, Process, and Tips

Easy contains di and dsa questions

Q1. Explain svm algorithm in you project
Ans. 
SVM algorithm is a supervised machine learning model used for classification and regression tasks by finding the optimal hyperplane.
• SVM stands for Support Vector Machine

• It works by finding the hyperplane that best separates the classes in the feature space

• It can handle both linear and non-linear data by using different kernels like linear, polynomial, and radial basis function

• SVM aims to maximize the margin between the...read more
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Q2. Explain 4 pillars of oops
Ans. 
The 4 pillars of OOP are encapsulation, inheritance, polymorphism, and abstraction.
• Encapsulation: Bundling data and methods that operate on the data into a single unit.

• Inheritance: Ability of a class to inherit properties and behavior from another class.

• Polymorphism: Ability to present the same interface for different data types.

• Abstraction: Hiding the complex implementation details and showing only the necessary featu
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Section 1 : Quant, verabal, data interpretation, logical reasoning (60 questions)
Section 2 : Excel, Data structures, MS word (15 questions)

Q1. What is R2 score
Ans. 
R2 score is a statistical measure that represents the proportion of the variance in the dependent variable that is predictable from the independent variable(s).
• R2 score ranges from 0 to 1, with 1 indicating a perfect fit.

• It is often used in regression analysis to evaluate the goodness of fit of a model.

• R2 score can be interpreted as the percentage of the response variable variation that is explained by a linear model.
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Q2. How to check for multicollinearity
Ans. 
Multicollinearity can be checked using correlation matrix, variance inflation factor (VIF), and eigenvalues.
• Calculate the correlation matrix between independent variables. High correlation coefficients indicate multicollinearity.

• Calculate the VIF for each independent variable. VIF values above 10 indicate multicollinearity.

• Check for multicollinearity using eigenvalues of the correlation matrix. If there are eigenvalues
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It was just basic apti

Q1. Difference between sql and no sql
Ans. 
SQL is a traditional relational database management system, while NoSQL is a non-relational database system.
• SQL is structured query language used for relational databases

• NoSQL is a non-relational database system that can handle unstructured data

• SQL databases are table-based, NoSQL databases are document, key-value, graph, or wide-column stores

• SQL is good for complex queries and transactions, NoSQL is better for large a
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Q1. Situation based
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1 Hour : 60 Question

1 Hour : 3 Question DSA

DI, Quant and coding

Q1. About skills mentioned in resume
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Q1. General questions
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