Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Streamlit based web application for churn prediction

Hackathon - DELL HACK2HIRE 2021 - MSG Automl - A Streamlit based Automl system to help beginner and data specialist to find the best model to make prediction in classification, regression and clustering by the help of Pycaret Library.

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

This is a Web application built using streamlit whcih inputs the user dataset and auto Profiles and makes classification model using Pycreat.

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

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

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.

A framework which can caputre information on both the development and operation stages in ML

This repository showcases a Python project using Machine learning Algorithms/ Models on Churn Analysis in the telecommunication industry. By leveraging Machine Learning techniques, I strive to help telecom providers reduce churn rates, improve customer retention, and make data-driven decisions.

Testing PyCaret, Fugue, and Dask

An app that utilizes streamlit and pycaret to automate a machine learning pipeline

AutoML Web Frontend for automated Data Science

GoodData and Machine Learning

A Python class for AutoML spatial classification (designed for Species Distribution Modeling applications).

Backend for Optum Statethon Season 4

Web app to generate recommendations using association rule learning.

AutoML Libraries for training multiple ML models in one go with less code.