BALAJIHARIDASAN/ML_project

End to End Machine learning projects

process:

1. setup the github repository

2. clone the repository

3. create a new environment

4. activating the environment

5. creating setup.py(building the package)

6. creating requirements.txt file

7. creating logging and exception

8. creating the project structure for package

creating the environment:

1. conda create -p venv python==3.8 -y

activating the environment

2. conda activate venv/

create setup.py

create requirements.txt

create src folder (package should be mentioned with init.py file( this will make as the package))

3. run - pip install -r requirements.txt (TO install the packages required for project)

project structure on src folder

1. components

   a. data ingestion(This file helps to read the data)

   b. data_transformation

   c. model_trainer

2. pipeline

   a. train_pipe

   b. predict_pipe