https://github.com/armanx200/bitcoin_price_prediction

📈 Bitcoin Price Prediction using Random Forest Regressor 🧠
https://github.com/armanx200/bitcoin_price_prediction

ai arman-kianian artificial-intelligence machine-learning machine-learning-algorithms machinelearning python random-forest random-forest-regressor

Last synced: about 1 month ago
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📈 Bitcoin Price Prediction using Random Forest Regressor 🧠

• Host: GitHub
• URL: https://github.com/armanx200/bitcoin_price_prediction
• Owner: Armanx200
• Created: 2024-05-29T07:23:40.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-05-29T07:43:17.000Z (7 months ago)
• Last Synced: 2024-05-29T20:13:45.273Z (7 months ago)
• Topics: ai, arman-kianian, artificial-intelligence, machine-learning, machine-learning-algorithms, machinelearning, python, random-forest, random-forest-regressor
• Language: Python
• Homepage: https://github.com/Armanx200
• Size: 207 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
---

# 📈 Bitcoin Price Prediction using Random Forest Regressor 🧠

Welcome to the Bitcoin Price Prediction project! This repository contains code to load, preprocess, and train a machine learning model to predict Bitcoin closing prices. Using historical data, we employ a RandomForestRegressor to make predictions and evaluate the model's performance. Let's dive into the details! 🚀

## 🗂️ Table of Contents

- [Introduction](#introduction)

- [Dataset](#dataset)

- [Installation](#installation)

- [Usage](#usage)

- [Results](#results)

- [Contributing](#contributing)

## 🌟 Introduction

Predicting Bitcoin prices is both a fascinating and challenging task. This project demonstrates how machine learning can be applied to forecast the closing prices of Bitcoin using historical data.

## 📊 Dataset

The dataset used in this project contains historical Bitcoin prices with the following columns:

- Date

- Open

- High

- Low

- Close

- Adj Close

- Volume

## 🛠️ Installation

1. Clone the repository:

   ```sh

   git clone https://github.com/Armanx200/Bitcoin_Price_Prediction.git

   ```

2. Navigate to the project directory:

   ```sh

   cd Bitcoin_Price_Prediction

   ```

3. Install the required packages:

   ```sh

   pip install -r requirements.txt

   ```

## 🚀 Usage

1. Ensure your dataset (`BTC-USD.csv`) is in the project directory.

2. Run the script to train the model and make predictions:

   ```sh

   python BTC.py

   ```

## 📈 Results

The model's performance is evaluated using Mean Squared Error (MSE) and Mean Absolute Error (MAE). Below is the accuracy of the model within a threshold of 2%:

**Accuracy: 99.36%**

### 📊 Actual vs Predicted Close Price Plot

![Plot of Actual vs Predicted Close Price](https://github.com/Armanx200/Bitcoin_Price_Prediction/blob/main/Actual_vs_Predicted.png)

## 🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

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Made with ❤️ by [Arman Kianian](https://github.com/Armanx200)

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