Topic: scoring-models Goto Github
Some thing interesting about scoring-models
Some thing interesting about scoring-models
scoring-models,CS 276 - Programming Assignment 3
User: aitounejjar
scoring-models,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.
User: ajayaramachandran
Home Page: https://powerscore.vercel.app
scoring-models,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.
User: alokapps
scoring-models,ML-Scoring-project
User: axibord
scoring-models,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.
User: babi7777
scoring-models,Rest API for predicting default scores
User: cjean-pierre
scoring-models,Pre-trained models for the crisprScore package
Organization: crisprverse
scoring-models,Code for a ML model monitoring and scoring implementation using Flask
User: danrhowarth
scoring-models,A Python package to facilitate research on building and evaluating automated scoring models.
Organization: educationaltestingservice
Home Page: https://rsmtool.readthedocs.io
scoring-models,outlier detection, financial modeling, credit scoring, exploratory data analysis - EDA for finance
User: erjan
scoring-models,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.
User: kavish5
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.
User: nalron
scoring-models,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.
User: nithish-456
scoring-models,
User: oriartyz
scoring-models,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.
User: quicksell-louis
scoring-models,New business logic for maintaining marketing content score
Organization: rh-marketingops
scoring-models,Implementation of the paper - "SKIPFLOW: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring"
User: saiteja-reddy
scoring-models,
User: sanketsudake
scoring-models,COMPGI15 assignment to evaluate retrieval models on a standard TREC document test collection
User: santteegt
scoring-models,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.
User: sarah-math
scoring-models,Lightning fast web service for machine learning model scoring
User: sezinkarli
scoring-models,SAS Professional Certificate in Statistical Business Analyst using SAS
User: swilliamc
scoring-models,Credit scoring modeling toolbox based on R
User: xxzcool
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