AlabhyaMe

SimpsonsParadox

Casual_ML

Casual ML using two-model uplift

CentralLimitinShiny

Web-app with the help of Shiny in R

Data

Estimation

Externality

Codes for Data Generation and Analysis of Externality

FDI_animation

Individual-Tax-Calulcation-Nepal

Nepal-LabourForce-Migration-Mapping

Here is the R code to map the outmigration or absentee of a household based on Nepal Labor Force Survey

Quarto-R-and-Python

Quarto is a powerful data analytics tool that Posit Inc. built-in RStudio. The main feature of Quarto is that it can seamlessly switch between R and Python to do data analytics. This code shows the example of how easily one can switch between R and Python and work in the same notebook using Quarto.

AlabhyaMe/Casual_ML

Casual ML using two-model uplift

AlabhyaMe/Data

AlabhyaMe/Random-Forest-and-Logistic-Model-in-R

this project, I will use two machine learning models, Random Forest and Logistic Regression, to predict heart disease. This is a simple model where I use all available variables to make the prediction. I won’t delve too deeply into the problem beyond the estimation part.

AlabhyaMe/Quarto-R-and-Python

Quarto is a powerful data analytics tool that Posit Inc. built-in RStudio. The main feature of Quarto is that it can seamlessly switch between R and Python to do data analytics. This code shows the example of how easily one can switch between R and Python and work in the same notebook using Quarto.

AlabhyaMe/Externality

Codes for Data Generation and Analysis of Externality

AlabhyaMe/Individual-Tax-Calulcation-Nepal

AlabhyaMe/SimpsonsParadox

AlabhyaMe/FDI_animation

AlabhyaMe/Nepal-LabourForce-Migration-Mapping

Here is the R code to map the outmigration or absentee of a household based on Nepal Labor Force Survey

AlabhyaMe/CentralLimitinShiny

Web-app with the help of Shiny in R

AlabhyaMe/Estimation

AlabhyaMe/Thesis-Nepal-Trade-Preference

R code and raw data of my thesis