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Anomaly detection in NAB dataset.

Experiment with Amazon RDS CPU utilisation.

Installation

Using Anaconda:

The fastest way to run this notebook is to Install the Anaconda package with Python 3.7: https://www.anaconda.com/download/. It contains all necessary tools and common dependencies. Also, you should install MXNET framework: https://mxnet.incubator.apache.org/install/.

Using virtual environment:

  1. Create virtual environment in the project directory: python3 -m venv venv
  2. Activate it: source venv/bin/activate
  3. Install project’s dependencies: pip install -r requirements.txt

Data

The data comes from the NAB dataset: https://github.com/numenta/NAB, you should clone it to the project directory: git clone https://github.com/numenta/NAB.git

Starting the application

After installing tools and cloning the data run jupyter notebook command in the project directory.

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