https://github.com/md-emon-hasan/data-science-mastery

Dedicated to providing cutting-edge solutions in the field of data science, covering a range of advanced techniques like model training, evaluation etc.
https://github.com/md-emon-hasan/data-science-mastery

advanced-ml ai artificial-intelligence ci-cd data-science encoding ensemble-learning ensemble-machine-learning explainable-ai feature-engineering feature-extraction feature-selection hyperparameter-tuning machine-learning ml-pipeline model-evaluation model-optimization pipeline

Last synced: 7 months ago
JSON representation

Dedicated to providing cutting-edge solutions in the field of data science, covering a range of advanced techniques like model training, evaluation etc.

• Host: GitHub
• URL: https://github.com/md-emon-hasan/data-science-mastery
• Owner: Md-Emon-Hasan
• License: mit
• Created: 2024-11-25T17:56:11.000Z (11 months ago)
• Default Branch: master
• Last Pushed: 2025-01-17T17:40:22.000Z (9 months ago)
• Last Synced: 2025-01-28T16:14:44.461Z (8 months ago)
• Topics: advanced-ml, ai, artificial-intelligence, ci-cd, data-science, encoding, ensemble-learning, ensemble-machine-learning, explainable-ai, feature-engineering, feature-extraction, feature-selection, hyperparameter-tuning, machine-learning, ml-pipeline, model-evaluation, model-optimization, pipeline
• Language: HTML
• Homepage:
• Size: 6.65 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Data Science Mastery

This repository provides cutting-edge solutions for advanced data science workflows. It integrates modern techniques, from data preprocessing to model evaluation, and implements robust machine learning pipelines. The project utilizes sophisticated methods for data scaling, encoding, and ensemble learning, ensuring maximum performance and efficiency.

Key Features:

- CI/CD pipeline integration

- Advanced model training, evaluation, and hyperparameter tuning

- Cutting-edge techniques for feature engineering and explainability

For more details, please refer to the repository’s full documentation.