A Python package to facilitate research on building and evaluating automated scoring models.

Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.

Credit scoring modeling toolbox based on R

Implementation of the paper - "SKIPFLOW: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring"

Lightning fast web service for machine learning model scoring

SAS Professional Certificate in Statistical Business Analyst using SAS

Rust-based implementation of H2O mojo

This is a service written in node js which calculates fantasy points/scores for a match. The industry of fantasy gaming in India is moving at a great pace where you can continuously find new apps promoting and catering to fantasy gaming (especially cricket) for its audience. With the boom which seems never-ending, I thought of an idea to have a …

outlier detection, financial modeling, credit scoring, exploratory data analysis - EDA for finance

Code for a ML model monitoring and scoring implementation using Flask

A Python Data Science project created for the analysis of the market for caravan insurance policy creation and the profiling of the potential customers of the insurance company. A project created for academic purposes in Advanced Machine Learning course.

Since 2019, there has been ongoing competition on Kaggle for developing automated feedback tools, with the most recent competition taking place in 2022, just before OpenAI announces ChatGPT. This chatbot is to create an automated feedback tools - speech recognition for english learners

Développement d'un modèle de scoring pour évaluer la probabilité de défaut de paiement d'un client, afin de fournir une base solide pour décider d'approuver ou de refuser un prêt à un client potentiel.

Classification pour l'attribution ou non de prêts financiers et prédiction de scores de risque

This repository includes code for a predictive model I created which classifies counties that Trump won and a data exploration tool that plots the Trump county score along with a number of demographic variables over a county-level map of the US.

CS 276 - Programming Assignment 3

Pre-trained models for the crisprScore package

Resource Identification System finds the best-fit resources for a given project requirements. Scoring model has been used to find best-fit. It particularly matches all the project requirements with what employees possess.

New business logic for maintaining marketing content score

Rest API for predicting default scores