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https://github.com/rahamniabdelkaderseifelislem/prodigy_ml_01
Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model.
https://github.com/rahamniabdelkaderseifelislem/prodigy_ml_01
linear-regression machine-learning machine-learning-models predictive-modeling python scikit-learn
Last synced: about 1 month ago
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Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model.
- Host: GitHub
- URL: https://github.com/rahamniabdelkaderseifelislem/prodigy_ml_01
- Owner: RAHAMNIabdelkaderseifelislem
- Created: 2024-11-06T06:08:33.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-06T07:35:48.000Z (2 months ago)
- Last Synced: 2024-11-23T07:07:31.214Z (about 1 month ago)
- Topics: linear-regression, machine-learning, machine-learning-models, predictive-modeling, python, scikit-learn
- Language: Python
- Homepage:
- Size: 124 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🏠 House Price Prediction Magic ✨
> Task 1 of the Prodigy InfoTech ML Internship 🚀
## 🎯 What's This All About?
Ever wondered how much that dream house would cost? Say goodbye to wild guesses! 👋 Our AI-powered house price predictor uses cutting-edge machine learning to give you accurate price estimates in seconds! Just plug in the details, and watch the magic happen! ✨
## 🌟 Features That Make Us Special
- 🧮 **Smart Data Preprocessing**: We handle the complex stuff so you don't have to!
- 🤖 **Advanced ML Model**: Powered by linear regression with a sprinkle of data science magic
- 📊 **Real-time Metrics**: Get instant performance metrics (MSE, RMSE, R²)
- 🎨 **User-friendly GUI**: Beautiful interface that even your grandma could use!
- 💾 **Save & Load**: Your trained model stays ready for action, anytime!
## 🏗️ Project Blueprint
```
house_price_prediction/
│
├── 📂 data/ # Your dataset lives here
├── 📂 src/ # Where the magic happens
├── 📂 models/ # Home for your trained AI
├── 📄 requirements.txt # Project essentials
├── 📄 README.md # You are here! 👋
└── 📄 main.py # The conductor of our orchestra
```
## 🚀 Quick Start Guide
### 1. Clone & Conquer
```bash
git clone https://github.com/RAHAMNIabdelkaderseifelislem/PRODIGY_ML_01.git
cd house-price-prediction
```
### 2. Set Up Your Command Center 🎮
```bash
# Create your virtual environment
python -m venv venv
# Windows Power-Up! 🪟
venv\Scripts\activate
# Linux/Mac Power-Up! 🐧/🍎
source venv/bin/activate
```
### 3. Install Your Superpowers 💪
```bash
pip install -r requirements.txt
```
### 4. Launch Time! 🚀
```bash
python main.py
```
## 🎮 How to Use
1. 🏃♂️ Launch the application
2. 📝 Enter your house details:
- Square footage (How big is your castle?)
- Number of bedrooms (Room for activities!)
- Number of bathrooms (No more waiting in line!)
3. 🔮 Click "Predict" and watch the magic happen!
## 🧠 Under the Hood
- 🤖 **Algorithm**: Linear Regression (Simple but powerful!)
- 📊 **Features**: We analyze everything from square footage to the number of fireplaces
- 🔧 **Processing**: Advanced data scaling and encoding techniques
## 🎓 Learning Corner
This project is part of the Prodigy InfoTech ML internship program, where we:
- 📚 Learn real-world ML applications
- 💡 Implement industry-standard practices
- 🛠️ Build awesome projects like this one!
## ⭐ Why This Project Rocks
- 🎯 Accurate predictions
- 🚀 Lightning-fast results
- 🎨 Beautiful, user-friendly interface
- 📈 Real estate market insights
## 🤝 Want to Contribute?
While this is an internship project, we love your enthusiasm! Keep learning and building awesome things! 🌟
## 📜 License & Credits
Created with ❤️ as part of the Prodigy InfoTech ML internship program.
## 🎉 Special Thanks
- 🌟 Prodigy InfoTech for the amazing opportunity
- 💻 The open-source community for the incredible tools
- 🧙♂️ All the ML wizards who inspire us daily
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