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R
Created over 4 years ago
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bizmaercq

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We provide an empirical example of using partialling-out with Lasso to estimate the regression coefficient —1 in the high-dimensional linear regressionmodel

ps_power_bi_workshop

This repo is for the Pluralsight - UPS | Power BI Workshop

Gender-Wage-Gap

Here we ask and answer the followingquestion: What is the difference in predicted wages between men and women with the same job-relevantcharacteristics?

ps_flight_delays

lab files for the Pluralsight course Building, Training, and Validating Models in Microsoft Azure

Jupyter Notebook

Homicide-Rate

InferenceusingModernNonlinearRegressionMethods.CaseStudy

Predicting-Wages

I examine a real example, where we will predict workers’ wages using a linear combination of workers’ characteristics, and we will assess the predictive performance of our prediction rules using the adjusted mean squared error and r-squared as well as out-of-sample MSE andR2.

ps_cloud_labs_terraform_files

HCL

ps_create_real-time_inferencing_service

Jupyter Notebook

bizmaercq/Do-Poor-Countries-Grow-Faster-than-Rich-Countries

bizmaercq

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