State Farm Data Analyst Intern Interview Questions and Answers

Given Python coding challenge related to string processing and second question was matrix processing using python

Q1. Bagging boosting and its difference and uses.
Add your answer
Q2. Methods to minimize overfitting and underfitting
Add your answer
Q3. Transformer architecture
Add your answer
Q4. LLM usecase and explain how to work on it
Add your answer

Q1. Given data, find out what AI project can be discovered and how to progress on implementing it.
Add your answer
Q2. Given data and usecase, which model to use to implement solution and how detailed steps.
Add your answer

Q1. Discussed each project in my resume in detail and related questions
Add your answer
Q2. Discussed team and personal behavioural questions
Add your answer

I was a test in our college of about 45min revolving around aptitude.

Few basic coding questions.

Q1. About linear and logistic regression
Add your answer
Q2. About svm and kernels
Add your answer

Q1. SQL and Linux based Questions
Add your answer

Assignments using LLM usecase

Q1. Questions about assignments and ML topics
Add your answer

Q1. Explain about how recommendation engine work
Ans. 
Recommendation engines analyze user data to suggest items based on preferences and behavior.
• Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.

• They can also use content-based filtering to recommend items similar to ones the user has liked in the past.

• Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.

• Ex...read more
Answered by AI
Add your answer

Q1. Questions on Python datatypes, class, object, inheritance,
Add your answer
Q2. Machine learning algorithms
Ans. 
Machine learning algorithms are used to train models on data to make predictions or decisions.
• Supervised learning algorithms include linear regression, decision trees, and neural networks.

• Unsupervised learning algorithms include clustering and dimensionality reduction.

• Reinforcement learning algorithms involve learning through trial and error.

• Examples of machine learning applications include image recognition, natural l
Answered by AI
Add your answer
Q3. Sql queries and python coding questions
Add your answer

Q1. Related to project
Add your answer

Strong DSA required to crack this Interview

Q1. Sql basic to advance questions
Add your answer
Q2. In my some basic question from R language like what are the library available. From which library Sorting and filtering can be done?
Add your answer

Q1. In my case question related to banking terms and knowledge about credit card.
Add your answer

Case study on excel only.