How can machine learning help in data cleaning?

How can machine learning help in data cleaning?

Machine learning can automate the detection of errors and inconsistencies in datasets, improving data quality.

What types of errors can it detect?

It can identify duplicates, missing values, outliers, and incorrect data formats.

Can you give an example of a machine learning algorithm used for this?

Sure! Algorithms like Random Forest and Support Vector Machines are often used for classification tasks in data cleaning.

How do I start implementing this in my project?

You can start by collecting a clean dataset, choosing an appropriate algorithm, and using libraries like Scikit-learn.