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I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
Evaluation metrics for classification are used to assess the performance of a classification model.
Common evaluation metrics include accuracy, precision, recall, F1 score, and ROC-AUC.
Accuracy measures the proportion of correctly classified instances out of the total instances.
Precision measures the proportion of true positive predictions out of all positive predictions.
Recall measures the proportion of true positive p...
L1 and L2 regression are regularization techniques used in machine learning to prevent overfitting.
L1 regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.
L2 regression adds a penalty equivalent to the square of the magnitude of coefficients.
L1 regularization can lead to sparse models, while L2 regularization tends to shrink coefficients towards zero.
L1 regularization is also know...
Random forest is an ensemble learning algorithm that builds multiple decision trees and combines their predictions.
Random forest creates multiple decision trees using bootstrapping and feature randomization.
Each tree in the random forest is trained on a subset of the data and features.
The final prediction is made by averaging the predictions of all the trees (regression) or taking a majority vote (classification).
I am a dedicated and passionate Machine Learning Engineer with a strong background in computer science and data analysis.
Experienced in developing machine learning models for various applications
Proficient in programming languages such as Python, R, and Java
Skilled in data preprocessing, feature engineering, and model evaluation
Strong understanding of algorithms and statistical concepts
Excellent problem-solving and ana
L1 and L2 regression are regularization techniques used in machine learning to prevent overfitting by adding penalty terms to the loss function.
L1 regression adds the absolute values of the coefficients as penalty term (Lasso regression)
L2 regression adds the squared values of the coefficients as penalty term (Ridge regression)
L1 regularization can lead to sparse models with some coefficients being exactly zero
L2 regul...
AUC (Area Under the Curve) is a metric that measures the performance of a classification model. ROC (Receiver Operating Characteristic) is a graphical representation of the AUC.
AUC is a single scalar value that represents the area under the ROC curve.
ROC curve is a plot of the true positive rate against the false positive rate for different threshold values.
AUC ranges from 0 to 1, where a higher value indicates better ...
Parameter of random forest is the number of trees in the forest.
Number of trees in the forest affects model performance
Higher number of trees can lead to overfitting
Commonly tuned parameter in random forest algorithms
p, d, q values are parameters used in ARIMA time series models to determine the order of differencing and moving average components.
p represents the number of lag observations included in the model (autoregressive order)
d represents the degree of differencing needed to make the time series stationary
q represents the number of lagged forecast errors included in the model (moving average order)
For example, in an ARIMA(1,
I applied via Campus Placement and was interviewed in Aug 2020. There were 4 interview rounds.
A program to replace a character with another character in Java.
Create a string variable with the original text
Use the replace() method to replace the character with another character
Print the new string with the replaced character
I applied via Naukri.com and was interviewed in Oct 2020. There was 1 interview round.
Second level cache is a caching mechanism used to improve performance by storing frequently accessed data in memory.
Second level cache is implemented at the application level and can be configured using frameworks like Hibernate.
To optimize SQL queries, one can use indexes, avoid using SELECT *, and use JOINs instead of subqueries.
SOLID principles are a set of design principles for writing maintainable and scalable cod...
To deploy an application in AWS, you need to create an EC2 instance, configure security groups, install necessary software, and upload your application code.
Create an EC2 instance in the desired region and select the appropriate instance type
Configure security groups to allow traffic to and from the instance
Install necessary software and dependencies on the instance
Upload your application code to the instance
Start the ...
I applied via Company Website and was interviewed before Aug 2020. There were 4 interview rounds.
I applied via Campus Placement and was interviewed in Dec 2020. There were 4 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Jun 2021. There was 1 interview round.
BigInteger is used for mathematical operations involving very large integers in Java.
BigInteger is used when the range of values supported by primitive data types like int and long is not sufficient.
It is commonly used in cryptography and security applications.
It provides methods for arithmetic, bitwise, and logical operations on large integers.
Example: calculating factorial of a large number, generating large prime nu
Merge Sort Algo code in java
Divide the array into two halves
Recursively sort the two halves
Merge the sorted halves
Time complexity: O(n log n)
I applied via Campus Placement and was interviewed in Nov 2020. There were 3 interview rounds.
Program to print unique elements in an array in Java
Create a HashSet to store unique elements
Iterate through the array and add each element to the HashSet
Print the HashSet to get the unique elements
Data structures are ways of organizing and storing data in a computer so that it can be accessed and used efficiently.
Arrays - a collection of elements of the same type
Linked Lists - a sequence of nodes where each node contains a reference to the next node
Stacks - a collection of elements with two main operations: push (add) and pop (remove)
Queues - a collection of elements with two main operations: enqueue (add) and d...
OOPs stands for Object-Oriented Programming. It is a programming paradigm based on the concept of objects.
OOPs focuses on creating objects that contain both data and functions.
It emphasizes on encapsulation, inheritance, and polymorphism.
Examples of OOPs languages are Java, C++, Python, etc.
OOPs is used for creating modular, reusable and maintainable code.
Encapsulation: Hiding implementation details and exposing only necessary information.
Inheritance: Reusing code and creating a hierarchy of classes.
Polymorphism: Using a single interface to represent multiple entities.
Abstraction: Reducing complexity by hiding unnecessary details.
Examples: Java, C++, Python, Ruby, etc.
Inheritance is a mechanism in object-oriented programming where a new class is created by inheriting properties of an existing class.
Inheritance allows code reuse and promotes code organization.
The existing class is called the parent or superclass, and the new class is called the child or subclass.
The child class inherits all the properties and methods of the parent class and can also add its own unique properties and ...
Polymorphism is the ability of an object to take on many forms.
It allows objects of different classes to be treated as if they were objects of the same class.
It is achieved through method overriding and method overloading.
Example: A parent class Animal can have child classes like Dog, Cat, and Bird, each with their own unique implementation of the method 'makeSound'.
Polymorphism makes code more flexible and reusable.
Abstraction is the process of hiding complex implementation details and exposing only the necessary information.
Abstraction helps in reducing complexity and increasing efficiency.
It allows us to focus on the essential features of an object or system.
For example, a car can be abstracted as a vehicle with certain properties like speed, fuel efficiency, and seating capacity.
Abstraction can be achieved through interfaces,
Encapsulation is the process of hiding implementation details and providing a public interface for accessing the functionality.
Encapsulation helps in achieving data abstraction and information hiding
It prevents unauthorized access to the internal details of an object
It allows for easy modification of implementation without affecting the external code
Example: A class with private variables and public methods
Example: A b...
I applied via Naukri.com and was interviewed in Feb 2021. There were 3 interview rounds.
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