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00:02:58
How do you deal with missing data in a dataset?
00:03:30
Can you explain a machine learning project you’ve worked on?
00:02:58
I analyze missing data patterns and use methods like mean imputation, forward fill, or KNN imputation to maintain data integrity.
00:03:30
I built a recommendation system using collaborative filtering and matrix factorization to analyze user preferences and deliver personalized recommendations, enhancing user satisfaction.
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Interview Summary
Every Industy Every Domain Covered

Freshers

Engineering

Business

Coding

Product/Tools Software Based

Internship

Service Based

Data Science

Freshers

Engineering

Business

Coding

Product/Tools Software Based

Internship

Service Based

Data Science

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