Credit-Default-Risk-Prediction-Model

Python training for business analysts and traders

Convert images of LaTex math equations into LaTex code.

An end-to-end machine learning and data mining framework on Hadoop

Credit Risk analysis by using Python and ML

Research tools for analysing Cerberus banking trojan.

Autonomous Literature Overview

scikit-learn compatible tools for building credit risk acceptance models

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.

The Banking Industry Architecture Network e.V. (BIAN) model in Archimate 3

End-to-end robot control based on generative diffusion model