step 1 - Create an environment using below command "conda create -n BasicMLops1 python=="3.8"
step 2 - Activate the conda environment using below command "conda activate BasicMLops1"
step 3 - create a requirements.txt in the current directory
step 4 - specify whatever packages need to be installed
step 5 - install the packages in requirements.txt using below command "pip install -r requirements.txt"
step 6 - create a README.md and keep adding steps that you have done till now
step 7 - run the following command "git init"
step 8 - run the following command "dvc init"
step 9 - run the following command "dvc add data_given/winequality.csv"
step 10- If you get any error saying "ERROR: unexpected error - DLL load failed while importing win32file: The specified module could not be found." Then run the following command "conda install pywin32"
step 11- repeat step 9 after resolving the above issue
step 12- run the following command "git add -A" or "git add . "
step 13- run the following command git commit -m "initial commit" or "git add . && git commit -m "initial commit"
step 14- run the following command "git remote add origin <YOUR_GIT_REPOSITORY URL>"
step 15- run the following command "git branch -M main"
step 16- run the following command "git push origin main"
step 17- run the following command after you have added some code to project "dvc repro"
step 18- run the following command for test cases (you need to install tox and pytest and configure the necessary files before running the below commands) "tox" or "pytest -v"
step 19- setup commands "pip install -e . " to install packages in current directory like setup.py
step 20- Commands to build your own tar file and wheel file for created package "python setup.py sdist bdist_wheel"
step 21- run the following command to install jupyter notebook in working environment "pip install jupyterlab"
step 22- run the following command to open the jupyter notebook in notebooks folder "jupyter-lab notebooks/"