تفاصيل العمل

A web application built with Python and Streamlit that allows users to upload or load datasets, clean messy data automatically, explore insights, and train machine learning models (Logistic Regression & Random Forest).

Features:

- Upload CSV or load Seaborn datasets

- Data cleaning (handle missing values, encode categorical features)

- Data exploration (info, describe, heatmap)

- Select target & features with checkboxes

- Train models and view accuracy & confusion matrix

- Download cleaned data

بطاقة العمل

اسم المستقل
عدد الإعجابات
0
عدد المشاهدات
5
تاريخ الإضافة
تاريخ الإنجاز
المهارات