Fractal Analytics
10+ Unemployment Solutions 4 You Interview Questions and Answers
Q1. CASE: There is a beach with uniformly distributed customers, you know that if you set up a stall there a competitor will appear. Where would you put your stall?
I would strategically place my stall near a popular attraction on the beach to attract customers and deter competitors.
Place the stall near a popular attraction on the beach to attract more customers
Consider setting up the stall in a location with limited space for competitors to set up nearby
Offer unique products or services to differentiate from competitors
Q2. What are all the tools and used in whole life cycle of MLops and where you involved in ML engineering as well?
Q3. How did you implement end to end MLOps (Dev and Deployment)
Q4. What are the underlying assumptions of logistic regression?
Q5. What is logistic regression and its formula?
Q6. Difference between linearity and logistic assumptions are?
Q7. Explain your projects in detail from data preprocessing to deployment
I have worked on various projects involving data preprocessing, model building, and deployment.
I start by cleaning and preprocessing the raw data to remove missing values and outliers.
I then perform feature engineering to create new features and select the most relevant ones for model building.
Next, I train machine learning models using algorithms like Random Forest, XGBoost, and Neural Networks.
I evaluate the models using metrics like accuracy, precision, recall, and F1 scor...read more
Q8. What do you know about ESG
Q9. How NN works like CNN?
Q10. longest substring without repeating charachter
Q11. what are the oops concepts
Q12. Products used by Fractal
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