karagul Goto Github PK

pdf_reports

:closed_book: Python library and CSS theme to generate PDF reports from HTML/Pug

pdtoolkit

Collection of tools for probability of default (PD) rating model development and validation.

pe-hft-matlab

MATLAB toolbox for high frequency portfolio analysis, intraday backtesting and optimization

pe-hft-python

Python library for high frequency portfolio analysis, intraday backtesting and optimization

peer2peer-loss-given-default-prediction

The solution predicts the loss for customers who are more likely to default on their consumer loans in Peer-to-Peer lending.

penalized-regressionpt3

Data set: bostonhousing.csv You have to predict the median house value (medv) using the following variables: crim, zn, indus, nox, rm, age, dis, rad, tax, ptratio and lstat. Identify the model with the highest prediction accuracy using these methods: - best subset selection regression - forward and backward stepwise regression - ridge regression - lasso regression - PLS regression

penfmb

Penalized Fama-MacBeth

perfin

PerFin a Personal Finance library

performance-analytics-for-stock-portfolios

In-memory data transformations performed on stock market data for portfolio optimization

performance_factsheets

Templates for fund factsheets in R

performance_measures-example

performanceanalytics

Performance Anayltics for Investment Portfolios

performanceanalytics-1

performancemeasures

Shiny app for Performance Measures

performdash_rmarkdown

An Rmarkdown dashboard

performing-business-analytics

• Combining the datasets, so it is possible to monitor monthly sales trends for each of the flower types at each store location. • Taking note of any discrepancies or apparent faults in the data, so Parviflora can use that information to amend their systems. • Preparing a presentation in R Markdown, showing the most important observations from the data analysis. • Preparing the R code for data importing in such a way that will be able to import data for more than 3 months with no modifications to code. • Preparing the R Markdown presentation in such a way that it will automatically update when more than 3 months of data is used as an input.

personal_finance

Shiny app to simulate investements

personal_finance-1

Track income and spending

personalfinancialbudgeting

Personal Finance budgeting tool in R

pfe

potential future exposure calculator using local volatilities (includes option valuation)

pgkoreaportfolio

A Deep Reinforcement Learning Framework for the Korean Financial Portfolio Management

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pgvintshiny

Interactive analysis of vintage data in Shiny

phd-thesis_rmarkdown

Data and code from my PhD thesis titled "An interdisciplinary examination of stress and injury occurrence in athletes"

phd_materials

Contains educational materials used during my PhD studies. Intended to be accessed by students

phdthesis

My PhD Thesis, using Rmd and LATEX

pierian-data-complete-python-3-bootcamp

planf

My financial dashboard

plansimulations

Plan level Asset Liability simulation modeling

playinggoogleanalyticsdataviz

Packing a couple of inspiring Google Analytics visualizations within a R Shiny Dashboard