-banking-credit_risk_model

Credit risk modeling is the place where data science and fintech meet. It is one of the most important activities conducted in a bank, with the most attention since the recession. At present, it is the only comprehensive credit risk modeling course in Python available online – taking you from preprocessing, through probability of default (PD), loss given default (LGD) and exposure at default (EAD) modeling, all the way to calculating expected loss (EL).

-banking_finance-portfolio-risk-management

evaluate basic portfolio risk and returns . fully automate portfolio (Banking )construction and management processes. Discover what factors are driving portfolio returns, construct market-cap weighted equity portfolios,forecast and hedge market risk via scenario generation.

2020-vol-surface

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

531w16

Course materials for Stats 531 Winter 2016 (Analysis of Time Series)

amarjeet

My Portfolio Website

amarjeets

Portfolio website

amayadav

awesome-python-roadmaps

Awesome Python roadmaps

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

awesome-time-series-database

:clock7: A curated list of awesome time series databases, benchmarks and papers

awesome_time_series_in_python

This curated list contains python packages for time series analysis

barra-model

An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.

barra-multiple-factor-risk-model

Barra-Multiple-factor-risk-model

black-scholes-option-pricing-model

Black Scholes Option Pricing calculator with Greeks and implied volatility computations. Geometric Brownian Motion simulator with payoff value diagram and volatility smile plots. Java GUI.

books

booksfor-study

cen4020

code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

cohort-analysis-and-customer-segmentation-with-python

We are tasked to Perform Cohort and Recency Frequency and Monetary Value Analysis to understand the value derived from different customer segments. Further, we will divide customers in different cluster traits based on the analysis by using Unsupervised Learning Techniques.

cohort-retention-rate-analysis-in-python

Medium Size Bikes & Cycling Accessories Organisation's Transactions Data Based Cohort Analysis¶

complete-life-cycle-of-a-data-science-project

Complete-Life-Cycle-of-a-Data-Science-Project

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

credit-risk-modeling

Credit Risk Modeling for Retail Loans

credit-risk-modeling-1

Credit Risk Models for Scorecards, PD, LGD, EAD

credit-risk-modeling-2

credit-risk-modeling-in-python

Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.

creditr

A Credit Risk Scoring Modeling and Validation Package

creditsense

A decentralised credit scoring platform based on Multichain blockchain