shash 0.1.1

Custom data science utilities for model evaluation and data preparation

Shash Package

A custom Python package for data analysis, preparation, and model evaluation.

Features

• Data preparation & EDA

  • datacheck: Checks for missing/null values and duplicate rows in a DataFrame.
  • dataeda: Provides basic exploration of a DataFrame, including head, shape, info, and descriptive statistics (describe).

• Model evaluation

  • evaluate_model: Computes key evaluation metrics for classification models, including accuracy, precision, recall, F1-score, confusion matrix, Classification report and ROC AUC score.

Installation

Install from PyPI:

pip install shash


## Usage

```python
from shash.dataprep import datacheck, dataeda
from shash.evaluation import evaluate_model

# Example usage
datacheck(df)        # Check for missing values and duplicates
dataeda(df)          # Explore the dataset: head, shape, info, describe
evaluate_model(y_val, y_pred_val, y_proba_val, dataset_name="Validation Set")  # Evaluate model performance: accuracy, precision, recall, F1-score, confusion matrix