Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
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Updated
Sep 20, 2024 - Jupyter Notebook
Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
Development and validation of a risk prediction model with binary outcome using logistic regression - Code repository for the manuscript 'Assessing the performance of prediction models: a framework for some traditional and novel measures' by Steyerberg et al. (2010)
Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox proportional hazards models' (published in Annals of Internal Medicine)
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Tools for validating OpenAPI (Swagger) files.
The project is to find the most relevant data features that will make the best prediction about the level of solar radiation.
Validot is a performance-first, compact library for advanced model validation. Using a simple declarative fluent interface, it efficiently handles classes, structs, nested members, collections, nullables, plus any relation or combination of them. It also supports translations, custom logic extensions with tests, and DI containers.
Easy-to-use, high-performance email validator for C# .NET 8.0 with custom attribute and disposable domain detection.
This repo includes the beginning of my more advance project work during my undergraduate program at UPenn, wherein we to applied statistical concepts into our analysis in R.
Repository on Approximate Bayesian Computation and the different distance metrics which can be implemented.
Easily define and manage validation rules directly within your Eloquent models, streamlining your code by avoiding clutter in controllers and eliminating the need for separate form request classes.
Intermediate Machine Learning Course By Kaggle
A place to collect write-ups, notes, and tutorials
Example about how to implement Pipeline Behavior from MediatR package adding a pipeline for data validation
A MLR algorithm that analyzes diabetes data in African Americans to predict a diabetes diagnosis
Classify an email as spam or not spam using the logistic regression machine learning model. Additionally, analyze concrete compressive strength data using linear regression.
Validation of a Machine Learning model that prevents the diagnosis of diabetes in patients according to the Diabetes Simple Diagnosis dataset available on Kaggle.
Laravel model validation validates the data on model events. *Only for laravel applications.
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