Installing dependencies

• cd /path/to/project-directory # Choose your project directory

conda create -n env1 python

Then, activate this app's virtualenv: virtualenv -p python3 venv1 # For Python 3

conda activate env1

• Install your requirements

(venv)$ pip install -r requirements.txt

• install dependencies packages

pip install mlflow

pip install Airflow

!pip install evidently

pip install pandas

Run tracking server locally

mlflow server --host 127.0.0.1 --port 8080

• 4 runs was carried out by varrying the hyperparameters