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I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
Different types of regression analysis include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regression.
Linear regression: Predicts a continuous outcome based on one or more input features.
Logistic regression: Predicts the probability of a binary outcome.
Polynomial regression: Fits a curve to the data by including polynomial terms.
Ridge regression: Adds a penalty term to the...
Confusion matrix is a table used to evaluate the performance of a classification model.
It is a matrix with rows representing the actual class and columns representing the predicted class.
It helps in visualizing the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions.
It is commonly used in machine learning to assess the quality of th...
Transformer based models use self-attention mechanism to capture long-range dependencies in data.
Transformer models consist of encoder and decoder layers.
Self-attention mechanism allows each word to attend to all other words in the input sequence.
Positional encoding is added to input embeddings to provide information about the position of words.
Transformer models have achieved state-of-the-art results in various NLP ta...
Various NLP techniques for text extraction include Named Entity Recognition, Part-of-Speech tagging, and Dependency Parsing.
Named Entity Recognition (NER) identifies entities such as names, dates, and locations in text.
Part-of-Speech tagging assigns grammatical categories to words in a sentence.
Dependency Parsing analyzes the grammatical structure of a sentence to identify relationships between words.
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I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.
I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.
Online coding test with Sql and python questions
Spark context is the main entry point for Spark functionality and represents the connection to a Spark cluster.
Main entry point for Spark functionality
Represents connection to a Spark cluster
Used to create RDDs, broadcast variables, and accumulators
Inheritance is a concept in object-oriented programming where a class can inherit attributes and methods from another class.
Allows for code reusability by creating a new class based on an existing class
Derived class inherits properties and behaviors of the base class
Supports the concept of polymorphism and encapsulation
Example: Class 'Car' can inherit from class 'Vehicle' and inherit its attributes like 'color' and met
SparkConfig is a configuration object used in Apache Spark to set various parameters for Spark applications.
SparkConfig is used to set properties like application name, master URL, and other Spark settings.
It is typically created using SparkConf class in Spark applications.
Example: val sparkConf = new SparkConf().setAppName("MyApp").setMaster("local")
posted on 11 Jan 2025
I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.
5 coading questions were asked in it
In Mu Sigma APT round is divided into 3 sections Quant, Logical and verbal
I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.
posted on 11 Nov 2022
Spark, python related questions
posted on 23 Jul 2023
I applied via Recruitment Consulltant and was interviewed in Jun 2023. There were 4 interview rounds.
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