🎗️ Breast Cancer Prediction Using Machine Learning 🔬

📖 Important Note

I will upload the colab file and step by step execution with details soon.**

📌Overview

This repository contains a machine learning model that predicts breast cancer based on various cell characteristics. The model is built using Logistic Regression and utilizes Standard Scaling for better performance. 🏥💡

🌟 Features

• 📊 Data Preprocessing: Cleaning, scaling, and preparing the dataset.
• 🔎 Exploratory Data Analysis (EDA): Understanding dataset characteristics.
• 🤖 Model Training: Logistic Regression for classification.
• 📈 Model Evaluation: Confusion matrix and R² score.
• 🎯 Predictions: Classifying whether the tumor is malignant or benign.

🛠️ Requirements

Make sure you have the following dependencies installed:

pip install numpy pandas matplotlib scikit-learn

💪 Usage

1. Clone the repository:

   git clone https://github.com/yourusername/breast-cancer-prediction.git
   cd breast-cancer-prediction

2. Run the model training script:

   python breast_cancer_prediction.py

3. View the model's predictions and evaluation metrics.

🏆 License

This project is open-source and available under the MIT License. 💎