Micro1 ml engineer Interview Questions and Answers

Q1. Project discussion
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Q2. Bigdata project questions
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Q1. Ml model discussion
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Q2. Have you implemented llama models
Ans. 
LLAMA models are used for large language model adaptation.
• LLAMA models are used for adapting large language models to specific tasks or domains.

• They are commonly used in natural language processing tasks such as text generation, translation, and sentiment analysis.

• Examples of LLAMA models include GPT-3, BERT, and RoBERTa.
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Q1. Questions related to college projects.
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Q1. What are python decorators
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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
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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
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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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Two questions asked which have difficulty level is high

Q1. What is the difference between Precision and Recall?
Ans. 
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations, while Recall is the ratio of correctly predicted positive observations to the all observations in actual class.
• Precision focuses on the accuracy of positive predictions, while Recall focuses on the proportion of actual positives that were correctly identified.

• Precision = TP / (TP + FP)

• Recall = TP / (TP + FN...read more
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Q2. What are the hyperparameters of Random forest?
Ans. 
Hyperparameters of Random Forest include number of trees, max depth of trees, minimum samples per leaf, and maximum features.
• Number of trees: Determines the number of decision trees in the forest.

• Max depth of trees: Controls the maximum depth of each decision tree.

• Minimum samples per leaf: Specifies the minimum number of samples required to be at a leaf node.

• Maximum features: Determines the maximum number of features t
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Q1. About yourself and projects
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Q2. Mostly questions related to project, technology involve etc.
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Q1. Write a code to sort a list without using inbuild function
Ans. 
Implement a sorting algorithm to sort a list without using built-in functions.
• Use a common sorting algorithm like bubble sort, selection sort, or insertion sort.

• Iterate through the list and compare adjacent elements to swap them if necessary.

• Repeat the process until the list is sorted in ascending order.
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Q2. Explain web scraping using code
Ans. 
Web scraping is the process of extracting data from websites using code.
• Identify the website and the specific data to be extracted

• Use libraries like BeautifulSoup or Scrapy in Python to parse HTML

• Inspect the website's HTML structure to locate the data

• Write code to extract the data and store it in a desired format
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