What are some common analysis techniques used in data science?
Some common techniques include regression analysis, clustering, classification, and time series analysis.
Can you explain regression analysis in more detail?
Sure! Regression analysis helps in understanding the relationship between variables, often used for prediction.
What about clustering? How does it work?
Clustering groups similar data points together, helping to identify patterns or segments within the data.
Are there specific tools used for these techniques?
Yes, popular tools include Python libraries like Pandas, Scikit-learn, and R for statistical analysis.
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