SKit is an innovative Python library that simplifies the deployment process of Machine Learning (ML) models, making your Data Science work easier. It encompasses several powerful tools and libraries such as Matplotlib, Sklearn, TensorFlow, and many other Python helpers.
- Provides a user-friendly interface for training, evaluating, and deploying ML models.
- Directly integrates with popular libraries like Matplotlib for visualization, Sklearn for machine learning, and TensorFlow for deep learning.
- Contains Python helpers to facilitate data preprocessing, manipulation, and analysis.
- Allows for a quick and efficient Data Science process, from data collection to visualization and prediction.
You can install SKit using pip:
pip install git+https://github.com/YanSteph/SKit.git
import SKit
# Your code goes here...The complete documentation for SKit will come soon.
Contributions are always welcome!
SKit is distributed under the MIT License.
If you have any questions or comments, please feel free to contact us.
Thank you for using SKit!