Git Product home page Git Product logo

jingjingwang85 / winerama-recommender-tutorial Goto Github PK

View Code? Open in Web Editor NEW

This project forked from jadianes/winerama-recommender-tutorial

0.0 0.0 0.0 545 KB

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Home Page: http://jadianes.github.io/winerama-recommender-tutorial

License: Other

Python 75.95% HTML 24.05%

winerama-recommender-tutorial's Introduction

Winerama

A web recommender tutorial tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Join the chat at https://gitter.im/jadianes/winerama-recommender-tutorial

This repository contains the code for a wine reviews and recommendations web application, in different stages as git tags. The idea is that you can follow the tutorials through the tags listed below, and learn the different concepts explained in them. The tutorials include instructions on how to deploy the web using a Koding account. However, Koding recently moved from solo to team accounts and the link provided to my Koding account deployment of the tutorial result is not working anymore. The tutorial can still be followed with no problem at all.

Tutorials

The following tutorials will guide you through each of the previous Git tags while learning different concepts of data product development with Python.

Tags

  • stage-0: an empty repo.
  • stage-0.1: a Django project with one app called reviews. The app defines model entities.
  • stage-0.2: admin site up and running for our model entitities Wine and Review.
  • stage-0.3: views and templates are available.
  • stage-0.4: add review form added.
  • stage-0.5: template reuse.
  • stage-1: added Bootstrap 3 for Django.
  • stage-1.1: add_review now requires login. Added login templates and menu sesion links.
  • stage-1.2: a user reviews page created.
  • stage-2: user management done.
  • stage-2.1: Scripts to load CSV available + data loaded.
  • stage-2.2: An empty wine suggestions view has been added.
  • stage-2.3: Suggestions view now shows wines not reviewed by the user.
  • stage-2.4: Added cluster model object and manually created three clusters.
  • stage-2.5: Suggestions view now makes use of cluster information.
  • stage-3: K-means clustering based recommendations provided.

Contact

Feel free to contact me to discuss any issues, questions, or comments.

License

This repository contains a variety of content; some developed by Jose A. Dianes, and some from third-parties. The third-party content is distributed under the license provided by those parties.

The content developed by Jose A. Dianes is distributed under the following license:

Copyright 2016 Jose A Dianes

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

winerama-recommender-tutorial's People

Contributors

jadianes avatar bitdeli-chef avatar gitter-badger avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.