Python Custom Master Learning
Last updated:
0 purchases
Description:
Python Custom Master Learning is a versatile framework for designing and training custom machine learning models tailored to specific needs. It streamlines creating, testing, and deploying unique algorithms.
Features:
- Customizable pipelines for supervised and unsupervised learning.
- Support for integration with popular Python ML libraries like scikit-learn and XGBoost.
- Real-time model evaluation metrics and visualizations.
Requirements:
- Python 3.8+ with scikit-learn, NumPy, and Pandas installed.
- A dataset tailored to the desired task.
- IDE or Jupyter Notebook for development.
Instructions:
- Install dependencies using
pip install scikit-learn pandas matplotlib. - Load your dataset and split it into training and testing sets.
- Design and train a custom model using Python libraries.
- Evaluate the model and deploy it using REST APIs or saved pickle files.
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files In This Product: (if this is empty don't purchase this product)
Customer Reviews
There are no reviews.
