Insurance Analytics

From the start, humankind have been filled with wonder. Questions such as:

• "Is happiness just chemicals flowing through your brain or something more?"
• "Are there limits to human creativity?"
• "What truly sets people apart?"
• "What would a utopia be like, how would it function and continue to exist?"
• "What combination of deep neural networks with gradient descent trained under AdaBoost with optimal stopping, Gaussian statistics, and Kaggle datasets can model the expected loss/gain of a potential customer looking to have health insurance, give data factors such as age, BMI, number of children, and more data factors, allowing us to predict the probability of a loss claim, the amount of a loss?"

Of these many philosophical questions, we submit that something that may move us closer to truths of the universe (the last question).

Built With

• dash
• scikit-learn