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This is a regression ML project related to diamond prediction.

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Project: Diamond Price Prediction

Create the Virtual Environment:

1. conda create -p venv python==3.9
2. conda activate venv/

Setup the project:

- python setup.py install

Directory Structure

|- 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

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This is a regression ML project related to diamond prediction.

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