Mini Program 17 - Health Insurance Data Analysis & Model building using Python - Part 4

After exploratory data analysis and building hypothesis, we move to predictive model building stage where we try and test many models on the same dataset to compare the performance and to check which one fits the best in the given business and technical constraints. We should start with the base model and then build advanced models or try some bagging/boosting mechanisms to improve the performance.

We are analyzing the health insurance dataset in this case study. You can follow this post to know how to get started.

#CodeWithUs to find out more and do it your self!! 

You can find the code at Python Code - GitHub

Bonus content - Read this article to know about how to optimize your Python codes





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