This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.
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Updated
Feb 24, 2022 - R
This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.
Machine Learning in Finance
Reverse engineered the pricing structure of a competitor using machine learning algorithm (Gradient Boosted Trees)
In this example I show how Extreme-Gradient-Boosting can be used in a Survival Analysis database. At the end the importance of the variables is shown.
Tools created for machine learning classification model evaluation
Driven Data Competition
Implementing Gradient Boosting & SuperLearner in R and compare the classification accuracy of the two methods.
VMWare-Analytics-Harward-Business-Case-Study-
One Data Set with multiple Algorithms
K-means clustering and gradient boosting (XGBoost)
🌽Predictive Modeling
Extracción de viviendas del portal inmobiliario Idealista. Análisis de efectos geoespaciales en la modelización del precio de la vivienda en la ciudad de Madrid.
Predicting Time of Arrival for Food Delivery Service
Detect Credit Card Fraud with Machine Learning in R
🌳 Stacked Gradient Boosting Machines
Reproducing and extending results from PrOCTOR paper (Predicting Odds of Clinical Trial Outcomes using Random forest) via gradient boosting methods
Evolution of quantitative EEG over the first few days of life for preterm (<32 weeks GA) infants
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