What is Data Cleaning in Machine Learning?
Machine learning is amazing, but it needs clean data to work! Data cleaning preps data for analysis.
Data can be messy
· Missing info
· Typos
· Duplicates
· Inconsistent formats
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Cleaning Crew: Data scientists are the cleaners!
They identify and fix errors to make data accurate and usable.
How to handle missing data?
Fill it in (carefully!), remove it, or use models to predict it.
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Double Trouble
Duplicates happen! Data scientists find and remove them to avoid skewing the results.
Outlier Alert
Outliers are data points far from the norm. They can be real or errors. Data scientists decide how to handle them.
Clean Data, Clear Results
Clean data is key to building accurate machine learning models. Clean data leads to better insights!