Medical Insurance Cost Prediction using Machine earning

Last update: Dec 27, 2021

Overview

Multiple-Regression-Project

Here in this project, I will use regression analysis to predict medical insurance cost for people in different regions, and based on several aspects like : Smoking, Number of children, BMI...etc. In this project I will :

1 - Exploratory Data Analysis

2 - perform Data Visualization

3 - Generate insights.

4 - Build Regression model.

5 - Evaluate the model.

6 - Regression Summary.

Owner

GitHub Repository

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Medical Insurance Cost Prediction using Machine earning

Related tags

Overview

Multiple-Regression-Project

Owner

Trajectory Prediction with Graph-based Dual-scale Context Fusion

Localized representation learning from Vision and Text (LoVT)

Versatile Generative Language Model

Label Studio is a multi-type data labeling and annotation tool with standardized output format

PyTorch implementation of Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

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This repository provides an efficient PyTorch-based library for training deep models.

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