1. conda create -p venv python==3.9
2. conda activate venv/
- python setup.py install
|- artifacts ''' All the pickle files will be stored in this directory '''
|- notebooks ''' We will write all the Jupyter notebook in notebook '''
|- data ''' All the files will be present in the data dir '''
|- src ''' The entire end to end machine learning model will be present here '''
|- components ''' All the components of pipeline comes in this '''
|- pipelines ''' Both the pipeline is present here - Training Pipeline, Prediction Pipeline '''
|- exceptions.py ''' All the exceptions will be present here '''
|- logger.py ''' Logging will be done here '''
|- utils.py ''' Contains all the common functionality - Reading csv file, Creating a pickle file, upload the file in some database, etc. '''
|- .gitignore
|- README.md
|- requirements.txt
|- setup.py