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Understanding outliers, missing values, overfitting, and underfitting in data science.
Outliers are data points that significantly differ from other data points in a dataset.
Missing values are data points that are not present in a dataset.
Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.
Underfitting occurs when a model is too simple to capture the underlying pattern in...
Asked about data structure and algo
I applied via Job Fair and was interviewed before Jul 2022. There were 3 interview rounds.
Just basic coding which is simple and quite easy for beginners.
I applied via LinkedIn and was interviewed before Aug 2023. There were 3 interview rounds.
Data structures and algorithms, oops, DBMS, os
Data structures and algorithms
I am a passionate software developer with experience in Java, Python, and web development.
Graduated with a degree in Computer Science
Worked on various projects using Java and Python
Familiar with web development technologies like HTML, CSS, and JavaScript
I applied via Job Fair and was interviewed in Oct 2024. There were 2 interview rounds.
I applied via Company Website and was interviewed before Mar 2023. There was 1 interview round.
Solve 500 Leetcode problems
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest
Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf
ROC curve is a graphical representation of...
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