vishnukanduri / Credit-Risk-Modeling-in-PythonLinks
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. Com…
☆96Updated 5 years ago
Alternatives and similar repositories for Credit-Risk-Modeling-in-Python
Users that are interested in Credit-Risk-Modeling-in-Python are comparing it to the libraries listed below
Sorting:
- A comprehensive credit risk model and scorecard using data from Lending Club☆149Updated 4 years ago
- Credit Risk analysis by using Python and ML☆172Updated 8 years ago
- Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)☆29Updated last year
- ☆24Updated 5 years ago
- The full scope of IFRS 9 Impairment models including PD, LGD and EAD are provided. It also covers ECL, which is the combination of those …☆106Updated 2 months ago
- credit-risk-modeling☆32Updated 4 years ago
- Credit-Risk Modelling Libraries☆131Updated 8 years ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆96Updated 3 years ago
- Financial data analytics with Python☆75Updated 5 years ago
- Credit Risk Model on Machine learning and prediction☆31Updated 5 years ago
- Portfolio of investment and finance-related data science projects☆41Updated 6 years ago
- Hands-on Python for Finance published by Packt.☆343Updated last month
- ☆13Updated 5 years ago
- Applied Data Science for Credit Risk☆175Updated this week
- Python solutions to solve practical business problems.☆521Updated last year
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆265Updated 3 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Some of my notebooks of Datacamp courses.☆132Updated 6 years ago
- Timeseries for everyone☆263Updated 2 years ago
- The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to pr…☆33Updated 8 months ago
- Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"☆99Updated 2 years ago
- Files for my Udemy course specifically on Time Series Analysis☆65Updated 5 years ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆154Updated 10 months ago
- 5 machine learning techniques to forecast product sales☆144Updated 2 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆159Updated 3 years ago
- Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.☆83Updated 7 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆137Updated 7 years ago
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆95Updated last month
- Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices☆132Updated 4 years ago