varunshenbagaraj

Data Engineer

Indium Software (Inida) Private LimitedChennai, Tamil Nadu, India

Pinned Repositories

Authentication_System
A simple authentication system in python using file handling
1 1 00
dbt-health_claims
This repo is to create macros for healthcare data professionals
0 1 00
dbt_pkg_contribute
To build macros and contribute to dbt package hub
0 1 00
git_basic_commands
Tutorial for add, commit, push and difftool
0 1 00
GTM-widgets-for-dashboard
To embed images to the dashboard
0 1 00
GUVI_Project_2_Credit_Card_Default_Prediction
Credit Card Default Prediction
Language:Jupyter Notebook0 1 00
GUVI_Project_3_Energy_Efficiency
A comparison of Linear Regression and Random Forest in predicting the Heating & Cooling Load of buidings.
Language:Jupyter Notebook00
GUVI_Project_Submission---Item_demand_forecasting
An item level forecast of 50 items sold across 10 stores over a 5 year period using XG Boost, Decision Tree, ARIMA, SARIMA & Holt Winters
Language:Jupyter Notebook0 1 00
octave
Official repository for Octave Bioscience Project - Indium Software
0 1 00
TimeSeriesForecasting---DemandPrediction
Time Series Forecasting - Demand Forecasting
Language:Jupyter Notebook1 1 01

varunshenbagaraj/Authentication_System
A simple authentication system in python using file handling
1 1 00
varunshenbagaraj/TimeSeriesForecasting---DemandPrediction
Time Series Forecasting - Demand Forecasting
Language:Jupyter Notebook1 1 01
varunshenbagaraj/dbt-health_claims
This repo is to create macros for healthcare data professionals
0 1 00
varunshenbagaraj/dbt_pkg_contribute
To build macros and contribute to dbt package hub
0 1 00
varunshenbagaraj/git_basic_commands
Tutorial for add, commit, push and difftool
0 1 00
varunshenbagaraj/GTM-widgets-for-dashboard
To embed images to the dashboard
0 1 00
varunshenbagaraj/GUVI_Project_2_Credit_Card_Default_Prediction
Credit Card Default Prediction
Language:Jupyter Notebook0 1 00
varunshenbagaraj/GUVI_Project_3_Energy_Efficiency
A comparison of Linear Regression and Random Forest in predicting the Heating & Cooling Load of buidings.
Language:Jupyter Notebook00
varunshenbagaraj/GUVI_Project_Submission---Item_demand_forecasting
An item level forecast of 50 items sold across 10 stores over a 5 year period using XG Boost, Decision Tree, ARIMA, SARIMA & Holt Winters
Language:Jupyter Notebook0 1 00
varunshenbagaraj/octave
Official repository for Octave Bioscience Project - Indium Software
0 1 00
varunshenbagaraj/pandas-tutorial
An opinoinated pandas tutorial for data scientists
Language:Jupyter Notebook0 0 00