Group NUS 23 Submission

What it does

Predicts whether a customer will purchase life or health insurance products within the next three months based on the data

How we built it

We built this in Python, using packages like Pandas, seaborn, matplotlib

Challenges we ran into

Cleaning the dataset

Accomplishments that we're proud of

We achieved a satisfactory accuracy rate and F1 score for our model

What we learned

Exploratory Data Analysis, Data Preprocessing & Modelling

What's next for Group NUS 23 Submission

Go to the finals

Built With

• matplotlib
• pandas
• python
• scikit-learn