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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
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.
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.
CS 276 - Programming Assignment 3
Rest API for predicting default scores
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.
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.
Pre-trained models for the crisprScore package
Code for a ML model monitoring and scoring implementation using Flask
outlier detection, financial modeling, credit scoring, exploratory data analysis - EDA for finance
Scrape articles given a link and analyze the text using NLP techniques
COMPGI15 assignment to evaluate retrieval models on a standard TREC document test collection
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.