Welcome to alpha_Feat_Selector
– your go-to function for time series feature selection in Machine Learning! 🚀
Diving into time series data? Struggling with feature selection? Say no more! alpha_Feat_Selector
is here to revolutionize your ML workflow. Designed specifically for time series data, it's both powerful and user-friendly. 🌐
- Tailored for Time Series: Specialized in handling time-bound data with finesse.
- Insightful Visualizations: Includes time series plots and feature importance charts.
- Easy to Use: Perfect for both ML wizards and apprentices!
- Efficient and Robust: Optimized for performance, ready for large datasets.
from alpha_feat_selector import alpha_Feat_Selector
# Load your DataFrame
# df = ...
# Unleash the magic!
df_clean = alpha_Feat_Selector(df, 'cleaned_data.csv', 'Close')
📊 Visualization Dashboard
Behold the power of visual insights:
📚 Installation
pip install pandas numpy matplotlib seaborn sklearn statsmodels tqdm
🤖 How to Use
Just a few steps and you're set to go! Check out our detailed usage guide in all notebooks.
👐 Contributing
Join the adventure! Contributions, issues, and feature requests are all welcome. Let's make alpha_Feat_Selector even more awesome! 🌟 📜 License
Distributed under the MIT License. See LICENSE for more information. 📞 Contact
Project Link: https://github.com/your_username/alpha_Feat_Selector
🙌 Acknowledgements
Shoutout to the Python community! Special thanks to contributors and users like you.
Give a ⭐️ if this project helped you! Spread the word! 📢