A machine learning project to forecast daily gold prices in Egypt using ARIMA and advanced predictive models.
# 🟡 Gold Prices Prediction in Egypt 🇪🇬💰
## 🎯 Project Objective
This project aims to accurately predict the **next day's gold price** in Egypt using various machine learning and time-series models. It utilizes a **daily-updated dataset** of gold prices to ensure precision and relevance in predictions.
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## 🧠 Models Used:
- ARIMA (Auto-Regressive Integrated Moving Average)
- SVR (Support Vector Regression)
- XGBoost
- Naïve Bayes
- Decision Trees
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## 🛠️ Tools & Technologies:
- Python 🐍
- Google Colab
- Jupyter Notebook
- Kaggle (for dataset and initial experiments)
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## 📈 Key Features:
- Daily updated gold price dataset 📊
- Multi-model comparison to choose the best predictor
- High accuracy in forecasting the **next day's price**
- Visualizations for trends and model evaluation
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## 📁 Project Files:
- `data(1)` – Cleaned dataset
- `gold_prices.ipynb` – Main notebook
- `README.md` – Project description and overview
- `USD_EGP Historical Data1` dataset of USD_EGP
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## 👩💻 Author:
**Hager Gamal**
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