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

New business logic for maintaining marketing content score

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 common code base for the same to calculate the same team performance on various platforms. Most of the apps (as per current writing) do not have their own separate fantasy scoring logic or even if they have, they are just differentiated by points for actions and nothing else. For e.g. app A gives 1 point for 1 run whereas app B gives 0.5 points for 1 run for a batter. That's totally something someone can code in a proper generic way to fulfill all the common needs. Most of the apps currently follow the standards, set by the market owners i.e. Dream 11 and so I thought to have a code that can at least help a start-up or some ongoing apps to reuse the same logic in every way possible for their own use case.

Pre-trained models for the crisprScore package

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

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.

determine best time to use the washing machine ;-)

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.

Intelligent system for collecting meteorological data, forecasting ski resort avalanche restrictions, and delivering real-time insights via a Telegram bot. Powered by ML, microservices, and containerized architecture.

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

Building a score for customers and deploying it on a Streamlit App

No description provided.

No description provided.

Code for a ML model monitoring and scoring implementation using Flask

Data-driven composite scoring model for prioritizing the migration sequence of 500+ pages across 8 weighted dimensions — built cross-functionally with product, UX, engineering, and analytics to replace ad hoc prioritization

Credit score linear regression model

This repo contains the source code for Jeopardy and attack-defense CTF scoring simulators.

No description provided.

Credit scoring and segmentation refer to the process of evaluating the creditworthiness of individuals or businesses and dividing them into distinct groups based on their credit profiles.

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

HydraNet is a multi-headed deep learning system for predicting Cas12a guide RNA activity using both gRNA sequence information and pre-computed biophysical features. Models are available trained on 3 Cas12a variants: opCas12a (AsCas12a), D156R LbCas12a, WT LbCas12a.

Rest API for predicting default scores

Desarrollo integral de un modelo de scoring crediticio para crédito al consumo utilizando SAS, SQL y Excel. El proyecto incluyó construcción de base de datos, análisis univariado por veintiles, evaluación de variables socioeconómicas, modelado mediante regresión logística y transformación del modelo en una Scorecard operativa.