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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)
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🍀
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
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.
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'.
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.