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Machine Learning System

introduction

This project is a full stack Django/React/Redux app that uses token based authentication with Knox.

Then I add Machine Learning features for demostrate the full workflow of the data mining, including the four stage corresponding to four pages:

1. data management
2. data explore
3. model train
4. prediction

The data set is the classic iris data, which is only for demo, and this project is from my interest. so you can reference, but the quality is not assured.

features

• authentication functions

login from login page register your account logout from inner page

• data management

input iris items edit iris items delete iris items

• data explore

inspect attribute distribution through histogram inspect sepal distribution through scatter graph inspect petal distribution through scatter graph

• model train

input cluster number train a cluster model using sklearn-kmeans library inspect cluster result through sepal and petal scatter

• prediction

input iris sepal and petal attributes predict iris cluster

technology stack

Quick Start

# Install dependencies
cd ./frontend
npm install

# Build for production
npm run build


# Install dependencies
cd ../backend
pipenv install

# Serve API on localhost:8000
pipenv run python manage.py runserver

snapshot

login page

model train page

prediction page

a simple machine learning system demo, for ML study.

标签：data   user   ica   tps   vat   stack   img   learning   hot   

原文地址：https://www.cnblogs.com/lightsong/p/10800931.html