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scoring-models
Here are 15 public repositories matching this topic...
Lightning fast web service for machine learning model scoring
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Feb 6, 2019 - Java
Credit scoring modeling toolbox based on R
r
psi
binning
discretization
credit-scoring
iv
scorecard
scoring-models
risk-management
woe
ks
credit-risk
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Oct 18, 2018 - R
Implementation of the paper - "SKIPFLOW: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring"
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Dec 9, 2018 - Jupyter Notebook
New business logic for maintaining marketing content score
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Feb 10, 2017 - Python
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.
python
dashboard
hyperopt
banking-applications
heroku-deployment
scoring-models
rfecv
lightgbm-classifier
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May 22, 2021 - Jupyter Notebook
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.
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May 30, 2018 - R
game
machine-learning
ai
pool
ball-tracking
collision-detection
scoreboard
billiards
snooker
scoring-models
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Jun 15, 2018 - C++
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.
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Apr 26, 2019 - HTML
outlier detection, financial modeling, credit scoring, exploratory data analysis - EDA for finance
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Jan 11, 2020 - Jupyter Notebook
CS 276 - Programming Assignment 3
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May 20, 2017 - Java
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.
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Jan 14, 2018 - HTML
COMPGI15 assignment to evaluate retrieval models on a standard TREC document test collection
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Mar 30, 2016 - Java
ML-Scoring-project
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May 12, 2020 - Jupyter Notebook
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We use scaled predictions in tutorial. Prediction scaling is becoming increasingly obsolete: it was used to maximize kappas that were computed on rounded values but in fact it increases MSE. Since it's used in tutorial, many new users assume this is the default approach.
I think we should replace it with raw predictions. Thoughts?