upendra860's starred repositories
Linear-Regression
The model explores the relationship between dependent variable (deposits+1) and several independent variables(Exchange rate, inflation rate, Spendings,GDP)
time-series-deposit-rate
In the notebook I try to model American deposit rate using other lending rates.
Deposit-Interest-Rates
A short case study of interest rate modeling using central bank rates and OIS rates (linear regression)
LGD-models
Loss Given Default modelling using different methods in R
Credit_Risk_Modeling
Estimate the amount a specific bank would lose by lending to borrowers (EL=PD*LGD*EAD), as well as the ratio of total funded loans, to assess the credit risk level, using Machine Learning algorithms.
Credit-Risk-Modeling
Credit Risk Models for Scorecards, PD, LGD, EAD
Credit-Risk-Modeling-Kaggle
Predicting the probability of serious delinquency or default using Logistic Regression
CreditRiskModel
predictive model to calculate the probability of the credit risk and choose cut-off rate for default risk to provide decision support on profit-risk control
Credit-Risk-Modeling
Credit Risk Modeling by creating Probability of Default (PD), Loss Given Default (LGD) & Exposure At Default (EAD) models for Credit Risk Management.
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.
python3-in-one-pic
Learn python3 in one picture.
data-science-utils
Lots of useful functions over Pandas and Python Numpy for Data Science