lingyingyang / elearning

an e-learning website with recommender system,

elearning

an elearning website with recommender system.

DEV

http://127.0.0.1:8000/ test account: yiliang / abcd1234@
http://127.0.0.1:8000/admin/ test account: admin/test1234@

Cloud - AWS EC2

http://ec2-13-239-55-207.ap-southeast-2.compute.amazonaws.com/ test account: yiliang / abcd1234@
http://ec2-13-239-55-207.ap-southeast-2.compute.amazonaws.com/admin test account: admin / test1234@

Development

Components

1. list page of courses
2. detail page of course
3. info page of staff
4. info page of student
5. course progress of student
6. course recommendation for student

Dependencies

• Save dependancies to a file pip freeze > requirement_file.txt
• Install all dependancies in the file pip install -r requirement_file.txt
• List of major dependencies pip install django
pip install pandas
pip install python-rake
pip install scikit-learn
pip install psycopg2
pip install django-crispy-forms
pip install pylint-django Link
  pip install rake_nltk

Initial project

django startproject elearning

Initial Application

• course component python -m django startapp course
• users component python -m django startapp users

run server

python manage.py runserver

• debug: true => will reload automatically

Database ORM

1. should add app into project's setting.py firstly
2. update modules.py
3. migrate models using commands as below
   python manage.py makemigrations
python manage.py migrate

ERD

Administration

python manage.py migrate
python manage.py createsuperuser

Migrate to PostgreSQL - ElephantSQL

1. install python -m pip install psycopg2
2. migration python manage.py migrate
3. create admin superuser

Issues

Populating SQL script into a migration step

Method 1

1. create relevant models
2. python manage.py makemigrations --name inital_data --empty course
3. add load_data_from_sql
4. python manage.py migrate course

Method 2

1. Use the given SQL script to populate models and data Linked to solution
2. connect to the database
3. python manage.py inspectdb > models.py

elearning's Issues

Is Cosine Similarity really work?

Hello, I'm very interested with your repo. But there is a line of code I don't understand. In file course/services.py, at line 52, I saw this: cosine_sim = cosine_similarity(count_matrix, count_matrix). I think you are calculating the cosine similarity of count_matrix with itself. Does this really make any senses, because as I know, the result of this is always 1.