Inspiration
In the intricate web of data, we find the threads of knowledge waiting to be woven into insights. This project is an invitation to unravel the tapestry, discovering patterns that hold the key to informed decisions and transformative outcomes.
What it does
Cleans, Transforms, and Analyses data using a myriad of models to predict if customers will opt into a policy within 3 months' time.
How we built it
Used machine learning libraries and appropriate metrics to measure the degree of success of different types of models.
Challenges we ran into
We navigated through highly disorganized data, engaging in discussions about various techniques to address missing values and heavily skewed variables.
Accomplishments that we're proud of
A decent F1 score, measuring the harmonic mean of the precision and recall, given the highly imbalanced dataset we were given to work with.
What we learned
During this Datathon, our group gained valuable insights into collaborative problem-solving, data wrangling, and innovative approaches to address real-world challenges using data.
What's next for Group 320 Submission
The next steps for Group 320 are: Reflecting on the experience, documenting lessons learned, and considering opportunities to apply the acquired skills and knowledge in real-world projects or future data-driven challenges.
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