Inspiration

Learning machine learning , but before that we need to make sure that our data is even correct or not

What it does

goal is to preprocess and label the raw data

How we built it

using python libraries like pandas , sklearn , etc

Challenges we ran into

labeling the data and changing the data to different data types

Accomplishments that we're proud of

What we learned

What's next for Processing A Dataset

we can now use the processed data to make ml models which can work for a variety of data sets

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