The repo consists of Statistics Algorithms
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Updated
Apr 21, 2017
The repo consists of Statistics Algorithms
Find missing values in data set using Euclid distance, normalization and calculating information value, weight of evidence
This repo contains algorithms for data analysis required while building DL/ML models
Lead prediction case. Used GBM, RandomForest Linear Regression on H2O package
Weight of Evidence Encoding & Information Value
Implementation of weight of evidence and Information value techniques using Python
trying to deploy a Machine Learning model and the API code can be accessed across from any machine.
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
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).
An R package to quantify the performance of a binary classifier
The creation of the credit risk prediction models of a lending company.
The objective of this project is to predict credit score of the borrowers using logistic regression and provide threshold cut-off recommendation
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.
Build Credit Scoring Model in real dataset. Exploratory analysis dataset with hidden features .Using WOE method for explaining features which strongly contributes to output.
The objective of this project is to predict credit score of the borrowers using logistic regression and provide threshold cut-off recommendation
Supporting materials for creating blog posts
Credit Score Modelling: Perform a Weight of Evidence Logistic Regression Modelling (WoELR) to generate credit scorecard for loan approval.
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.
Credit Score Modelling: Deployment using CI/CD (GitHub Actions). Utilize serverless deployment on HuggingFace Spaces. Develop an interactive web application with Gradio.
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