Create README.md

Author: HarshitSeth77

medical insurance cost prediction/README.md

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+# Medical Insurance Cost Prediction 🚀  
+
+This project is part of **CodePeak 2025** and focuses on predicting medical insurance costs using machine learning.  
+
+## 📌 Project Overview  
+The goal of this project is to analyze medical insurance data and build a predictive model to estimate insurance costs based on features such as age, BMI, smoking status, etc.  
+
+## 📂 Dataset  
+- The dataset used for this analysis is **insurance.csv**.  
+- It contains features such as age, sex, BMI, number of children, smoking status, and insurance charges.  
+
+## 🔧 Tech Stack  
+- **Programming Language**: Python  
+- **Libraries Used**:  
+  - **Data Processing**: Pandas, NumPy  
+  - **Visualization**: Matplotlib, Seaborn, Plotly  
+  - **Machine Learning**: Scikit-Learn, XGBoost, RandomForest  
+  - **Feature Engineering**: Ordinal Encoding, Label Encoding, Mutual Information  
+  - **Data Balancing**: SMOTE  
+
+## 📊 Exploratory Data Analysis (EDA)  
+- Data cleaning and handling missing values  
+- Feature correlations and distributions  
+- Visualizations using Seaborn and Plotly  
+
+## 🏗️ Model Building  
+- **Random Forest Regression**  
+- **XGBoost Regression**  
+- **Evaluation Metrics**:  
+  - Mean Squared Error (MSE)  
+  - R² Score  
+