mltoolkit-laht 0.1.0

A data science and machine learning toolkit

my-ds-ml-toolkit

This is a Python library for data science and machine learning tasks. It provides utilities for data processing, modeling, and visualization.

Installation

To install this package, clone the repository and run the setup script:

git clone https://github.com/yourusername/my-ds-ml-toolkit.git
cd my-ds-ml-toolkit
pip install .

Usage

Here is a basic example of how to use this toolkit:

from my_ds_ml_toolkit import data_processing, models, visualization

# Load and preprocess your data
data = data_processing.load_data('your_data.csv')
data = data_processing.preprocess_data(data)

# Train a model
model = models.MyModel()
model.train(data)

# Visualize the results
visualization.plot_model_performance(model)

Testing

To run the tests, use the following command:

python -m unittest discover tests

Dependencies

This package requires the following Python libraries, which are listed in the requirements.txt file:

• numpy
• pandas
• scikit-learn
• matplotlib

Please make sure to install these dependencies before using this toolkit.

Contributing

Contributions are welcome! Please submit a pull request or create an issue to propose changes or additions.