BUSINESSNEXT Data Scientist Interview Questions, Process, and Tips

Q1. Python coding questions followed by machine learning , deep learning algorithms
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Q1. Explain confusion matrix Define what is p value Explain k means vs decion tree
Ans. 
Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.
• Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.

• P value is the probability ...read more
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Q1. What is nlp and explan cnn
Ans. 
NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.
• NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.

• CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.

• CNNs are also used in NLP for tasks like text classification and sentiment analysis.
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Q1. How random forest works in feature selections process?
Ans. 
Random forest uses feature importance to select the most relevant features for prediction.
• Random forest calculates feature importance based on how much each feature decreases impurity in the model

• Features with higher importance are considered more relevant for prediction

• Random forest can automatically handle feature selection by using only the most important features

• Example: In a random forest model predicting customer...read more
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Q1. Which GenAI projects I have worked on
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Q2. What is the context window in LLMs
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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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Case Study for Data Analysis for marketing company

Group Discussion on Case Study

Q1. Technical round questions about data analytics
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Q2. Technical round about data analytics
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