etl-helper-kit 0.1.0

A Python package for data cleaning, preprocessing, visualization, and machine learning.

DataKit

DataKit is a beginner-friendly Python package for data cleaning, preprocessing, visualization, machine learning, and evaluation.

Features

• Data Cleaning
• Data Preprocessing
• Machine Learning Models
• Model Evaluation Metrics
• Data Visualization
• Utility Functions
• Built-in Datasets

Installation

pip install datakit

Or install locally:

git clone https://github.com/yourusername/datakit.git

cd datakit

pip install .

Example

from datakit.datasets import DatasetLoader
from datakit.cleaning import DataCleaner

df = DatasetLoader.iris()

cleaner = DataCleaner(df)

cleaner.remove_duplicates()

print(cleaner.summary())

Modules

• cleaning
• preprocessing
• modeling
• metrics
• visualization
• utils
• datasets

Running Tests

pytest

Requirements

• Python 3.9+
• pandas
• numpy
• matplotlib
• seaborn
• scikit-learn

License

MIT License