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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