What are some common challenges in data science?

What are some common challenges in data science?

Some common challenges include data quality issues, lack of domain knowledge, and model interpretability.

Can you elaborate on data quality issues?

Sure! Data quality issues can arise from missing values, duplicates, or incorrect data entries, affecting analysis.

How can I improve data quality?

You can improve data quality by implementing data validation rules, regular audits, and using automated data cleaning tools.

What about model interpretability?

Model interpretability refers to how well we can understand and explain the predictions made by a model, which is crucial for trust.