AutoOut is an automated outlier detection and treatment tool that allows you to get better models with even better accuracy without writing a single line of code. With it's easy to use and simple interface you can detect and treat outliers in your dataset, that can help improve your final model.
Step 1: Install Dependencies
pip install -r requirements.txt
Step 2: Make migrations
python manage.py makemigrations
Step 3: Create tables:
python manage.py migrate
Step 4: Seed the database
python manage.py loaddata app/fixtures/process_statuses.json
python manage.py loaddata app/fixtures/processes.json
Step 5: Start the server
python manage.py runserver
Step 6: Open the app in your favorite browser
http://127.0.0.1:8000/app/home
Step 1: Fork
Step 2: Write your code
Step 3: Create a pull request
Gitter: Forum where all developers can interact with each other. They can discuss the code and approaches there. They can put ask questions to the core team