Abstract
Sktime Dl is an open-source Data Science project. DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow. sktime-dl is currently being ported to mini-packages within sktime, and no longer maintained as a separate package. It is built using Python, Deep Learning, Machine Learning, scikit-learn. The complete source code is publicly available on GitHub under the BSD 3-Clause "New" or "Revised" License, making it a useful reference for students building a Data Science mini project or final-year project.
1. Introduction
sktime-dl is currently being ported to mini-packages within sktime, and no longer maintained as a separate package.
Most estimators formerly in sktime-dl are now available in the sktime.classification.deep_learning and sktime.regression.deep_learning modules, and maintained there.
2. Objective
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
This project demonstrates how Python, Deep Learning, Machine Learning can be applied to a real-world Data Science problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Python 3.8 or later
- pip / virtualenv for dependencies
- VS Code, PyCharm or Jupyter Notebook
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/sktime/sktime-dl.git
cd sktime-dlFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Turn the analysis into an interactive dashboard
- Automate data refresh with a scheduled job
- Add a predictive model on top of the analysis
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- What is the source of the dataset and how was missing data handled?
- Which exploratory analysis steps revealed the most useful insight?
- Why were these particular charts chosen to present the data?
- Which statistical or ML technique supports the conclusions?
- How could the analysis be automated or refreshed with new data?
9. Source Code & License
This project is developed by sktime and published on GitHub under the BSD 3-Clause "New" or "Revised" License. Please follow the license terms and credit the original author when you use or modify this code.
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