https://github.com/kalyan4636/insurance-analysis

🔍💡 Dive into Data Science with projects on diverse problem statements, leveraging Data Analysis, Machine Learning, Deep Learning, NLP, and Business Intelligence using Python! 🐍📊📈
https://github.com/kalyan4636/insurance-analysis

artificial-intelligence dataanalysis deep-learning machine-learning machine-learning-algorithms python3 sql

Last synced: about 1 month ago
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🔍💡 Dive into Data Science with projects on diverse problem statements, leveraging Data Analysis, Machine Learning, Deep Learning, NLP, and Business Intelligence using Python! 🐍📊📈

• Host: GitHub
• URL: https://github.com/kalyan4636/insurance-analysis
• Owner: Kalyan4636
• Created: 2024-09-14T16:10:50.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-09-14T16:19:23.000Z (8 months ago)
• Last Synced: 2024-10-18T13:14:18.172Z (7 months ago)
• Topics: artificial-intelligence, dataanalysis, deep-learning, machine-learning, machine-learning-algorithms, python3, sql
• Homepage:
• Size: 21.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# INSURANCE-ANALYSIS USING PYTHON 

# Medical Personal Cost Prediction 🏥💊 

# Project Overview:

Predict healthcare costs for individuals based on various factors like age, BMI, and medical history. 📊💡

# Dataset:

Use medical cost datasets with features like age, sex, BMI, number of children, smoking status, and region. 📄📝

# Algorithms:

Apply regression models like Linear Regression, Random Forest, or XGBoost to predict costs. 📉🤖

# Data Preprocessing:

Clean, normalize, and encode categorical variables for effective model training. 🧹🔢

# Evaluation:

Measure model performance using metrics like MAE, MSE, and R-squared. 📏📈  

# SOURCE CODE LINK -  

https://colab.research.google.com/drive/1fJPKCjjt_tAJKudSKqD-Uvrz6oEWZmKk?usp=sharing