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https://github.com/imharshag/time-series-analysis

This focuses on performing a time series analysis of Bitcoin revenue using a naive forecast approach. The goal is to understand the revenue trends and make simple predictions based on historical data.
https://github.com/imharshag/time-series-analysis

google-colab jupyter-notebook numpy pandas time-series-analysis

Last synced: about 2 months ago
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Host: GitHub
URL: https://github.com/imharshag/time-series-analysis
Owner: imharshag
Created: 2024-06-09T18:18:19.000Z (7 months ago)
Default Branch: main
Last Pushed: 2024-06-16T04:35:53.000Z (7 months ago)
Last Synced: 2024-06-16T05:33:59.129Z (7 months ago)
Topics: google-colab, jupyter-notebook, numpy, pandas, time-series-analysis
Language: Jupyter Notebook
Homepage:
Size: 236 KB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# Time Series Analysis of Bitcoin Revenue Using Naive Forecast 📈

### Introduction
This project focuses on performing a time series analysis of Bitcoin revenue using a naive forecast approach. The goal is to understand the revenue trends and make simple predictions based on historical data. 📓 The analysis was conducted using a Jupyter Notebook.

### Dataset 📊
The dataset used in this analysis contains historical Bitcoin revenue data, [Click here for the dataset.](/Month_Value_1.csv)

### Document 📄

Project results and related [documents](https://drive.google.com/file/d/1MPMSSyDOQfrhJ0ElwSHEvMTfQAORCkjk/view?usp=drive_link)

### Contact 📬

For inquiries or feedback, please contact **[Harsha G](mailto:[email protected])**.

### Contributing 🤝

Contributions are welcome! Please fork the repository and submit a pull request for any improvements or bug fixes.

### License

This project is licensed under the MIT License.