Inspiration
We'd like to expand our knowledge on machine learning and apply it to real-world data
What it does
Optimize fund allocation through the implementation of machine learning predictions.
How we built it
We built through 4 stages of data cleaning, EDA, modeling, and evaluation
Challenges we ran into
Determine the suitable model for the prediction
Accomplishments that we're proud of
Finishing the project
What we learned
We learn machine learning techniques and its application
What's next for Group 306 Submission
Stay tuned!
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