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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

automated-ml-application-for-eda-streamlit-deployment--heroku

This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using Python, Streamlit. For executing all the operations customized function has been created and with support of these functions every step will be executed. EDA like basic information about data, Tabulation Analysis, Distribution Analysis, Correlation Analysis and it has been extended to perform Advance Statistical Analysis with some Basic Feature Engineering has been Automated. This Project has been Deployed with Streamlit in Heroku Cloud Platform

churn1

ml-eda-and-modelling-using-streamlit

Beautiful Web interface made with Streamlit for quick Exploratory Data Analysis using various libraries like matplotlib, seaborn, and pandas to automate the whole process and user can also make classification models which are implemented from scratch.

ml-model-deployment-aws-ec2

codes related to aws ec2 deployment

myml-webb-app

Automating various functions of a machine learning cycle like EDA and visualization and Model building

oc_ds_project7_dashboard_streamlit

Déploiement d'un dashboard interrogeant un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)

openclassroomproject

oc

pandas-data-science-tasks

Set of real world data science tasks completed using the Python Pandas library

penguins-heroku

projet8

streamlit-boston-app

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

streamlit-project

This repository provides a simple deployment-ready project layout for a Streamlit app. Simply swap out the code in `app.py` for your own and hit deploy!

teston

streamlit exe template

teston77