svkonda Goto Github PK

cookbook

The Data Engineering Cookbook

datastory

MATH2404

how-to-document-data-science-projects

This project is part of a blog article published at Medium. We like to give you a step by step guide on how to document your Python Data Science Project effectively as part of your machine learning model development. The solution, we propose, ensures that your documentation is version controlled, shipped with the source code executing your machine learning experiment and made available to your users or co-workers using generally available tools including sphinx, GitHub, Microsoft Azure DevOps, and Azure storage or Azure web Services.

machine-learning-workflow-with-python

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

ml-webapp-using-streamlit

model_selections

pytest

r4ds

R for data science: a book

r_codes

All my R codes reside here including books and markdowns in Specific folders.

saferoads

shiny

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

svkonda

Config files for my GitHub profile.