/ Machine Learning

Automated Outlier Detection and Treatment Tool

Automated Outlier Detection and Treatment Tool

AutoOut

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.

How to Use:

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: Start the server

>> python manage.py runserver

Step 5: Open the app in your favorite browser

http://127.0.0.1:8000/app/home

Upload your data:

upload

Detect Outliers:

detect

Treat Outliers:

treat

GitHub