Created By:

• C Yongky Pranowo
• Faiq Fahreza
• Aditya Lesmana
• Bernadetta Alnybera F
• Fatkur Alfian
• Habibullah
• Ibnu

This project aims to predict real estate prices using the Random Forest Algorithm. Developed by the Computer Vision team "The Woz," this initiative seeks to leverage machine learning techniques to provide accurate house pricing estimations, helping both buyers and sellers make informed decisions.

• Data Preprocessing: Cleaning and preparing data for analysis.
• Feature Engineering: Enhancing the dataset with new features to improve model accuracy.
• Model Training: Utilizing the Random Forest algorithm for regression analysis.
• Evaluation: Assessing the model's performance using standard metrics.
• Deployment: Guidelines on deploying the model for production use.

• Python
• Pandas & NumPy for data manipulation
• Scikit-learn for modeling and evaluation
• Jupyter Notebook for interactive development

Clone the repository:

git clone https://github.com/your-repository/Predict-Real-Estate-with-Random-Forest-Algorithm.git