What are the impacts of data quality on machine learning models?

What are the impacts of data quality on machine learning models?

Data quality significantly affects the performance of machine learning models. Poor quality data can lead to inaccurate predictions.

Can you give examples of poor data quality?

Sure! Examples include missing values, incorrect labels, and outliers that don't represent the true data distribution.

How can I improve data quality for my model?

You can improve data quality by cleaning the data, handling missing values, and ensuring accurate labeling.

What tools can help with data cleaning?

Tools like Pandas, OpenRefine, and Trifacta are great for data cleaning and preprocessing.