Busibud ml engineer Interview Questions and Answers

Q1. What is linear regression
Ans. 
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
• Linear regression aims to find the best-fitting straight line that describes the relationship between variables.

• It is commonly used for predicting numerical values based on input features.

• The equation for a simple linear regression model is y = mx + b, where y is the dependent vari...read more
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Q2. What is support vector machine
Ans. 
Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks.
• SVM finds the hyperplane that best separates different classes in the feature space

• It works by maximizing the margin between the closest data points from different classes

• SVM can handle non-linear data by using kernel functions to map data into higher-dimensional space

• Examples: classifying emails as spam...read more
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Q1. What is difference between object detection and segmentation in image
Ans. 
Object detection identifies objects in an image, while segmentation assigns a label to each pixel in the image.
• Object detection involves identifying and locating objects within an image, often using bounding boxes.

• Segmentation assigns a class label to each pixel in the image, creating a pixel-wise mask for each object.

• Object detection is typically used when the goal is to identify and locate multiple objects in an imag...read more
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Q2. Technology used in camera sensor
Ans. 
Camera sensors use various technologies such as CMOS and CCD to capture images.
• CMOS (Complementary Metal-Oxide-Semiconductor) sensors are commonly used in modern digital cameras for their low power consumption and high image quality.

• CCD (Charge-Coupled Device) sensors are another type of sensor used in some cameras, known for their high-quality images but higher power consumption.

• Other technologies used in camera senso...read more
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Q1. What are python decorators
Ans. 
Python decorators are functions that modify the behavior of other functions or methods.
• Decorators are denoted by the @ symbol followed by the decorator function name.

• They are commonly used for adding functionality to existing functions without modifying their code.

• Decorators can be used for logging, timing, authentication, caching, etc.

• Example: @staticmethod decorator in Python is used to define a method that is not bo
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Q1. Only one round was there
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Q1. Tell about sql joins
Ans. 
SQL joins are used to combine rows from two or more tables based on a related column between them.
• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN returns all rows from the right table and the matched rows from the left table.

• F...read more
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Q2. What ks difference between delete and update
Ans. 
Delete removes a record entirely, while update modifies an existing record.
• Delete removes the entire record from the database

• Update modifies specific fields of an existing record

• Delete is irreversible, while update can be undone by another update

• Example: Deleting a user account vs updating the user's email address
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Q1. How to handle missing values in case of Kmeans cluster
Ans. 
Handle missing values in Kmeans cluster by imputing with mean, median, or mode.
• Impute missing values with mean, median, or mode of the feature

• Consider using algorithms like KNN imputation or MICE for more complex cases

• Drop rows or columns with missing values if they are insignificant in number

• Normalize data before imputing missing values to avoid bias
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Q2. How to handle imabalance in case of Naive Bayes
Ans. 
Handling imbalance in Naive Bayes involves using techniques like oversampling, undersampling, or using different evaluation metrics.
• Use oversampling techniques like SMOTE to create synthetic samples of the minority class.

• Use undersampling techniques to randomly remove samples from the majority class.

• Adjust class weights in the Naive Bayes algorithm to give more importance to the minority class.

• Use different evaluation ...read more
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Attended the codevita competition in final year of college.

Q1. About College Project
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Q2. Some very basics of java
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Q3. Experience of college project as a team
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Q1. If you cleared Aptitude and Coding, Mostly Interview will be cleared with some basics questions like OOPs concepts, sort functions kind of questions.
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Q2. Explain OOPs concept in JAVA?
Ans. 
OOPs concept in JAVA is a programming paradigm that focuses on objects and their interactions.
• OOPs stands for Object-Oriented Programming

• It involves the use of classes, objects, inheritance, polymorphism, and encapsulation

• Classes are used to define objects and their properties

• Objects are instances of classes that can interact with each other

• Inheritance allows for the creation of new classes based on existing ones

• Polymo...read more
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Q3. Function to sort an array in Java?
Ans. 
Java provides Arrays.sort() method to sort an array.
• Use Arrays.sort() method to sort an array of strings.

• The method sorts the elements in ascending order by default.

• To sort in descending order, use Collections.reverseOrder() method.
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Q4. Tell me about yourself?
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Q5. Final year project which you worked on?
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It's totally based on Basic understanding of concepts such as Linear arrangement, circular arrangement، blood relation, direction sense, ratio proportion, time, speed, distance

Q1. It's based on OOPS Concepts,
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Q2. Strength and weaknesses
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Q3. About yourself, about educational background, why should we hire you
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The first round is an aptitude online test that had Basics of Computer Science, Mathematics, English and then finally one basic program to code and compile like Palindrome.

Three panellists were present and it was a face-face round, Panellist 1 and 2 takes the technical discussions like classes, inheritance, oops concept, basic syntax, and such. Panellist 3 talks more about your resume skills, hobbies and the company overview.