This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

Landslide Susceptibility Assessment Tools - Project Manager Suite

Find missing values in data set using Euclid distance, normalization and calculating information value, weight of evidence

Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value

Weight of Evidence Encoding & Information Value

The objective of this project is to predict credit score of the borrowers using logistic regression and provide threshold cut-off recommendation

Implementation of weight of evidence and Information value techniques using Python

The repo consists of Statistics Algorithms

The objective of this project is to predict credit score of the borrowers using logistic regression and provide threshold cut-off recommendation

Credit Score Modelling: Perform a Weight of Evidence Logistic Regression Modelling (WoELR) to generate credit scorecard for loan approval.

The creation of the credit risk prediction models of a lending company.

Credit Score Modelling: Perform a Weight of Evidence Logistic Regression Modelling (WoELR) to generate credit scorecard for loan approval with the help of optbinning library.

Supporting materials for creating blog posts

This repo contains algorithms for data analysis required while building DL/ML models

Credit Score Modelling: Deployment using CI/CD (GitHub Actions). Utilize serverless deployment on HuggingFace Spaces. Develop an interactive web application with Gradio.

Lead prediction case. Used GBM, RandomForest Linear Regression on H2O package

Strategies to predict the best segment of customers who will respond positively to a bank’s marketing campaign therefore ensuring the maximum utilization of the company’s resources were investigated.

trying to deploy a Machine Learning model and the API code can be accessed across from any machine.

An R package to quantify the performance of a binary classifier