Yandex Data Scientist Interview Questions and Answers

Q1. What is linear regression? How to process data? Explain KLM algorithm.
Ans. 
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
• Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

• It assumes a linear relationship between the independent and dependent variables.

• The goal of linear regression is to find the best-fitting line that minimi...read more
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It was very stressful

Q1. What will you do for the company in next 5 years
Ans. Continuing and developing skills and knoweldge in order to be able to take on more responsiblity within the company
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Q2. Why should we hire you ?
Ans. Because of my relevant skills and passion for this carrer
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Q1. Tell me about your project
Ans. 
Developed a machine learning model to predict customer churn for a telecom company
• Used Python and scikit-learn for data preprocessing and model building

• Performed feature engineering to improve model performance

• Evaluated model using metrics like accuracy, precision, and recall

• Implemented the model in a production environment for real-time predictions
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Q1. Number of Duplicate words in a string
Ans. 
Count the number of duplicate words in a string.
• Split the string into words using a delimiter like space or punctuation.

• Create a dictionary to store the count of each word.

• Iterate through the words and increment the count in the dictionary.

• Count the number of words with count greater than 1 as duplicates.
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Q2. Chunking in LLM
Ans. 
Chunking in LLM refers to breaking down text into smaller chunks for better processing by the language model.
• Chunking helps improve the efficiency of the language model by breaking down large text inputs into smaller segments.

• It can help the model better understand the context and relationships within the text.

• Chunking is commonly used in natural language processing tasks such as text summarization and sentiment analys
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Machine learning and artificial intillegence

Q1. Which GenAI projects I have worked on
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Q2. What is the context window in LLMs
Ans. 
Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.
• Context window helps LLMs capture dependencies between words in a sentence.

• A larger context window allows the model to consider more context but may lead to increased computational complexity.

• For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo
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Q3. What is top_k parameter
Ans. 
top_k parameter is used to specify the number of top elements to be returned in a result set.
• top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

• For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

• In natural language processing tasks, top_k can be used to limit the number of possible next words in a
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Q4. What are regex patterns in python
Ans. 
Regex patterns in Python are sequences of characters that define a search pattern.
• Regex patterns are used for pattern matching and searching in strings.

• They are created using the 're' module in Python.

• Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.
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Q5. What are iterators and tuples
Ans. 
Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.
• Iterators are used to loop through elements in a collection, like lists or dictionaries

• Tuples are similar to lists but are immutable, meaning their elements cannot be changed

• Example of iterator: for item in list: print(item)

• Example of tuple: my_tuple = (1, 2, 3)
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Q6. Do I have REST API experience
Ans. 
Yes, I have experience working with REST APIs in various projects.
• Developed RESTful APIs using Python Flask framework

• Consumed REST APIs in data analysis projects using requests library

• Used Postman for testing and debugging REST APIs
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