mandarpriya

All_Seasons_Fund_Part3

applied-machine-learning-feature-engineering-3809062

This repo is for linkedin learning course: Applied Machine Learning: Feature Engineering [Revision 2024 Q3]

applied-machine-learning-foundations-3856104

This is a repository for the LinkedIn Learning course Applied Machine Learning: Foundations

class-repo

AEM 7130: Dynamic Optimization/Computational Methods

EDA_Python

End-to-end-Machine-learning-project-with-Mlflow

external_instrument

Package and test files for SVARIV. Used for Masters thesis, "Oil Price and the Stock Market: A Structural VAR Model Identified with an External Instrument"

Structural-Vector-Autoregression-Modeling

I analyze the interplay of three U.S. time series: unemployment, inflation and gross domestic product. The first cleans the data and invests seasonality and stationarity. The second part develops a (structural) vector autoregressive model and test structural identification. The third uses principal compnent analysis and three different quality criterions to forecast quarterly U.S. GDP.

tidy-tuesday

R code from Tidy Tuesday data analyses

Tidymodels_practice

Practice of Tidymodels

varexternalinstrument

R library that implements the high-frequency identification method from Gertler Karadi (and others) for the R vars package