Data Science

Turn raw data into insight. Learn data wrangling, visualization, statistics, feature engineering, modeling, evaluation, and experiment design. Use notebooks, pipelines, and MLOps to deliver trustworthy analyses and decision-ready results.

Total Questions: 34

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what is Pandas how to use?

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Exploring the Synergy of AI & Data Science: Questions for Enthusiasts

tejasri

tejasri

Oct 13
288
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2
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which database is best for machine learning project?

Ritik

Ritik

Jul 31
326
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How to Normalize data in Data Science?

1
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How to fill Missing Value in Large data set

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How to apply best fit line

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Which ETL tools are efficient for real-time data streams?

4
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ask queries

5
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What is the d/f b/w feature selection and feature engineering methods?

3
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What is the job of a data scientist?