1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

The Automated ML web app project leverages Python along with Pandas Profiling, PyCaret, and Streamlit to provide a seamless and user-friendly experience for automating machine learning workflows. It enables users to effortlessly explore, preprocess, model, and download the trained model

VisuVerse is an innovative and user-friendly Data Analysis and Data Visualization WebApp developed using Streamlit.

A Python library for day to day data analysis and machine learning. This aims to make data building, cleaning and machine learning much much faster. A library of extension and helper modules for Python's data analysis and machine learning libraries.

An app that uses pandas profiling to create a quick glance of a dataset.

Creating Profile Report with Pandas Profiling

Learn about the MBTA V3 API by building queries and exploring the results

Easy way to analyze your files through web-interface

This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.

This is a sample application that demonstrates how to build a regression AutoML app using Streamlit, Pandas Profiling, and PyCaret.

This is a sample application that demonstrates how to build a classification AutoML app using Streamlit, Pandas Profiling, and PyCaret.

This is an interactive web application built using Streamlit and Pandas Profiling that allows users to perform data analysis on large CSV files with just one click.

This web application is build with python streamlit and this repository helps perfrom EDA(Exploratory Data Analysis ) using pandas-profiling library in python . This web application also helps to analys the target variable using it modelling functon

🔎📊 Data Profiler app made with Streamlit and Pandas Profiling

A solver for Actorle, the daily actor guessing game

Automate machine learning EDA and model building using Pandas Profiling & PyCaret.

Create an ML pipeline for Genre Classification using MLflow.

This application creates an ML model by inputing your dataset and also gives you the Exploratory Data Analysis