create the file by right click and include the venv in it
Step 3: Create a requirements.txt file
pip install -r requirements.txt
Step 4: Create a setup.py file
This is to install the entire project as a package. Additionally, write a function to read the packages from requirements.txt
Step5: Create a folder src
Include exception, logger, and utils python files. Make this folder as a package by including __init__.py file. The scr folder will include another folder with name components will be created. Include __init__.py also
Step 5.1 Create a folder components
Include data_ingestion, data_transformation, model trainer, and __init_.py. These components are to be interconnected in future.
Step 5.2 Create a folder called pipeline
Create two python files training_pipeline and prediction_pipeline with __init__.py folder
Step 6: Create a folder called notebooks
Create a folder called data and include the dataset. Additionally, create a EDA.ipynb file to do the EDA analysis.