An automated EDA and data cleaning pipeline for healthcare ML.
Project description
quickprep 🚀
An automated Exploratory Data Analysis (EDA) and data cleaning pipeline designed to get tabular medical datasets ready for machine learning instantly.
Why use quickprep?
Standard EDA tools give you numbers; quickprep gives you clinical context. It automatically diagnoses severe class imbalances, flags biologically impossible missingness patterns, and executes a clean preprocessing recipe.
Installation
pip install quickprep
Quick Start
import pandas as pd
from quickprep import analyze, clean
df = pd.read_csv("your_medical_data.csv")
# 1. Diagnose the dataset
report = analyze(df, target='diagnosis')
# 2. Clean the dataset
clean_df, recipe = clean(df, target='diagnosis')
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