Maharashtra Hybrid Seed Company Interview Questions and Answers for Experienced

Q1. Explain logistic regression
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is a type of regression analysis used when the dependent variable is categorical or binary.

• It estimates the probability of the outcome using a logistic function.

• The model calculates the odds of the outcome and transforms them into probabilities.

• It uses a logit link ...read more
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Q1. Introduce Yourself
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Q2. What do you think about the role?
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Q3. Your experience with any BI Tools
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Q1. What is pandas?
Ans. 
pandas is a Python library used for data manipulation and analysis.
• pandas provides data structures like DataFrame and Series for working with structured data

• It offers tools for cleaning, transforming, and analyzing data

• pandas can handle various data formats like CSV, Excel, SQL databases, and more
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Q2. While webscraping, do HTML tables also get extracted?
Ans. 
Yes, HTML tables can be extracted while webscraping.
• HTML tables can be extracted using libraries like BeautifulSoup in Python.

• The data from the HTML tables can be converted into a structured format like CSV or Excel.

• Webscraping tools like Octoparse and Import.io can also extract HTML tables.

• Regular expressions can be used to extract specific data from HTML tables.
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Q1. How spring boot works internally?
Ans. 
Spring Boot is a framework that simplifies the development of Java applications by providing pre-configured settings and dependencies.
• Spring Boot uses an embedded Tomcat server to run the application.

• It provides auto-configuration for commonly used libraries and frameworks.

• Spring Boot uses Spring Framework's Inversion of Control (IoC) to manage dependencies.

• It also includes Spring Boot Actuator for monitoring and manag...read more
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Q2. What is Streaming api in java8?
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Streaming API in Java 8 is a feature that allows processing of large data sets in a functional and efficient manner.
• Stream API provides a set of functional interfaces and methods to process data in a declarative way

• It supports parallel processing of data

• It can be used with collections, arrays, and I/O operations

• Example: List<String> names = Arrays.asList("John", "Mary", "Bob"); long count = names.stream().filter(...read more
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Q1. About Business how to trade in wheat purchase
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