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From these project you can decide doctor fees, According to some parameter such as Qualification, Experience, Degree and Rating. The Entire Application Is Integrated With The DVC Tool.

License: MIT License

Python 11.30% Jupyter Notebook 85.75% CSS 0.15% HTML 2.79% Procfile 0.01%

doctor_fees_with_dvc's Introduction

Doctor Fees Prediction Using DVC

It is general file structure that can be used for DVC implementation.

STEPS -

STEP 01- Create a repository by using template repository or you can create the folder by using template.py

STEP 02- Clone the new repository

STEP 03- Create a conda environment after opening the repository in VSCODE & activate the env

conda create --prefix ./env python=3.7 -y

AND

conda activate ./env

OR

source activate ./env

STEP 04- Install the requirements

pip install -r requirements.txt

STEP 05- Initialize the dvc project

dvc init

Step 06- To add the data in dvc project

dvc add <data_path_with_extension>

STEP 07- To run python file or dvc stage

python src/<file_name_with_extension>

OR

dvc repro

Step 08- Commit The Code In Repository & Check The Ci-Cd pipeline

Step 09- To run the setup.py File

pip install -e .

Step 10- To run tox file

tox

Step 11- To run tox file after updating requirements.txt file

tox -r

Step 12- To create the package of your src file

python setup.py sdist bdist_wheel

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