MVP Predictor: Predicting NBA's Most Valuable Player

This project aims to to predict the NBA's Most Valuable Player (MVP) for the current season. This README is a description of how to create, activate, and install all Python requirements in a virtual environment, it also provides instructions on deploying a flow with the Prefect CLI.

Table of Contents

• MVP Predictor: Predicting NBA's Most Valuable Player
  • Table of Contents
  • Virtual Environment Setup
  • Installing Python Requirements
  • Deploying a Flow with Prefect CLI

Virtual Environment Setup

To manage Python packages and ensure project dependencies are isolated, it is recommended to use a virtual environment. Follow these steps to set up a virtual environment:

1. Install virtualenv if you haven't already:

   $ python3 -m venv .venv

2. Create a new virtual environment:

   $ virtualenv .venv

3. Activate the virtual environment:

   • For Windows:

     $ .\.venv\Scripts\Activate.ps1

   • For Unix/Linux:

     $ source .venv/bin/activate

Installing Python Requirements

Once the virtual environment is set up and activated, proceed to install the Python requirements for this project. Typically, these requirements are specified in a requirements.txt file.

1. Navigate to the project directory.

2. Install the requirements:

   $ pip install -r requirements.txt

Deploying a Flow with Prefect CLI

To deploy a flow using the Prefect CLI, follow these steps:

1. Ensure that Prefect is installed:

   $ pip install prefect

2. Authenticate with the Prefect server:

   # This authenticates to an already created Prefect Cloud account
   $ prefect cloud login --key <API_KEY>

3. Create a flow file (e.g., flow.py) with the desired flow definition.

4. Build the flow deployment configuration (.yaml) file:

    $ prefect deployment build ".\flow.py:function"                 \
        --name "Flow Deployment Name"                               \
        --tag "tag-1" --tag "tag-2"                                 \
        --pool default-agent-pool                                   \
        --work-queue default                                        \
        --infra process                                             \
        --storage-block your_prefect_block                          \
        --cron "cron expression"                                    \
        --output "./src/nba-etl-deployment.yaml"

5. Apply flow deployment:

   $ prefect deployment apply "./src/nba-etl-deployment.yaml"

For more information on using the Prefect CLI, refer to the Prefect documentation.

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That's it! You have now learned how to create and activate a virtual environment, install Python requirements, and deploy a flow using the Prefect CLI for predicting the NBA's Most Valuable Player. Enjoy the journey of MVP prediction using machine learning!