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

Lightning fast web service for machine learning model scoring

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

Credit scoring modeling toolbox based on R

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.

SAS Professional Certificate in Statistical Business Analyst using SAS

Rust-based implementation of H2O mojo

New business logic for maintaining marketing content score

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 …

A program for allowing users to perform a deep analysis on any VEX Robotics Competition, with a list of competition "PowerScores" that accurately reflect a team's contribution to the games they played.

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

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.

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.

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

Code for a ML model monitoring and scoring implementation using Flask

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.

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

Rest API for predicting default scores