Model versioning using Weight&Biases with Python.
Predicting the price of any 🏚house🏡 in Melbourne, Australia🌏by tracing through the decision tree🌳, always picking the path corresponding to that house's characteristics🏘. The predicted price💰 for the house is at the bottom of the tree. The point at the bottom where we make a prediction is called a leaf🍀
Analyzing e-Commerce company customer churn and providing business recommendations
The documentation source-code for the DotNet Validator Library.
LeagueOfPredictions is an experimental project utilizing predictive analytics to enhance game outcome predictions during the "Pick & Ban Phase" of League of Legends.
Building predictive models to detect and prevent the fraudulent transactions happening on cerdit cards and debit cards. Implementation of 2nd factor authentication for safe and secure transactions.
A place to collect write-ups, notes, and tutorials
An alternative (smarter) way to perform Cross Validation
Customer segmentation by Clustering techniques and Predicting the Insurance claim status by using Classification ML models
This project investigated the behavior of a nonlinear harmonic oscillator solver and explained the observed loss of accuracy under certain conditions. It extended a linear harmonic oscillator solver to a nonlinear counterpart using the model 'Method of Manufactured Solutions'.
DotNet Validator is a .NET library that contains a set of utility methods which could be used to validate or sanitize .NET data-models.
Article about helpful scikit-learn companion libraries. If you find it useful please leave a star =)
Multiple linear regression model based on eCommerce customers data in Python language.
Repository which consists different code snippets and projects for my personal lessons recorded at the University of San Francisco in during learning of the Machine Learning.
This is an app to test building an api with nodejs and express framework The app uses mongodb for storing data. You need to set up the connection string to mongodb to use it. The app is a RESTful API CRUD operations on a model product with validations using Joi library and custom validation middlewares.
Election Survey Analysis by Machine Learning
Analyzing and Forecasting of two different Wines' Sales by using Time Series Forecasting modelling
An easy-to-use, high-performance email validator for C# .NET 8.0 with custom attribute and disposable domain detection.
Dryv client-side validator for jQuery unobtrusive validation.
Add a description, image, and links to the model-validation topic page so that developers can more easily learn about it.
To associate your repository with the model-validation topic, visit your repo's landing page and select "manage topics."