My Data Science, Machine learning and Artificial Intelligence Projects

The following steps are a guide to start a data science project:

1. Import the data
2. Clean the data
3. Split the data. Training Set/Test Set
4. Create a Model
5. Check the output
6. Improve

Setting up the environment

Setting up the virtual environment is a good practice to avoid conflicts between libraries. To create a virtual environment, run the following command:

python3 -m venv venv

To activate the virtual environment, run the following command:

source venv/bin/activate

To install the required libraries, run the following command:

pip install -r requirements.txt

To deactivate the virtual environment, run the following command:

deactivate