Inspiration
Understanding the side effects caused by the harm of certain drugs or the wrong measure of the doses among different age and gender groups.
What it does
Our goal is to evaluate the dangerously used drugs and the amount of doses by forming machine learning models.
How we built it
We trained six models after preprocessing and cleaning the data.
Challenges we ran into
The features inside the dataset is enormous.
Accomplishments that we're proud of
We managed to clean the data and do feature engineering.
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