Bank_Marketing_Subscription_Model

"Bank Marketing Dataset" related to direct marketing campaigns of a Portuguese banking institution. This dataset involves predicting whether a client will subscribe to a term deposit based on various features.

Relevance to Marketing: The dataset involves marketing campaigns, and you can explore strategies to optimize marketing efforts for better subscription rates.

Predictive Modeling: You can build predictive models to understand which factors influence clients' decisions to subscribe to a term deposit, allowing you to optimize marketing strategies.

Business Impact: Successfully predicting customer behavior in marketing campaigns can have a direct impact on revenue operations, helping the bank allocate resources more effectively.

Practical Applications: The insights gained from this project can be directly applied to real-world marketing scenarios, making it a valuable experience for someone interested in Sales and Marketing.

Set up your Environment

macOS type the following commands :

• For installing the virtual environment you can either use the Makefile and run make setup or install it manually with the following commands:

  make setup

  After that active your environment by following commands:

  source .venv/bin/activate

Or ....

• Install the virtual environment and the required packages by following commands:

  pyenv local 3.11.3
  python -m venv .venv
  source .venv/bin/activate
  pip install --upgrade pip
  pip install -r requirements.txt

WindowsOS type the following commands :

• Install the virtual environment and the required packages by following commands.

  For PowerShell CLI :

  pyenv local 3.11.3
  python -m venv .venv
  .venv\Scripts\Activate.ps1
  pip install --upgrade pip
  pip install -r requirements.txt

  For Git-bash CLI :

  pyenv local 3.11.3
  python -m venv .venv
  source .venv/Scripts/activate
  pip install --upgrade pip
  pip install -r requirements.txt
  

  Note: If you encounter an error when trying to run pip install --upgrade pip, try using the following command:

  python.exe -m pip install --upgrade pip

  Linux Users : You know what to do 😎