Decision Tree and K-Nearest Neighbors using Heart Disease dataset
-
Updated
Mar 13, 2021 - R
Decision Tree and K-Nearest Neighbors using Heart Disease dataset
Predicting dwelling type using Decision Tree algorithm on a surveyed data set. The project includes feature selection, pre-processing and model evaluation.
Classification of Bankruptcy Database to Perform Classification with Machine Learning
FIFA'19 datasets Analysis
Predict the onset of diabetes based on diagnostic measures
Implementation of basic machine learning algorithms and Artificial neural network models, from my coursework.
American loan default analysis
I am interested in exploring machine learning techniques to predict the outcome of a European soccer game using game and player information collected. The generated predictive model will be able to predict the outcome of a game as Win, Loss or Draw for the home team. This model will use various attributes that are calculated each year for both h…
HR Analytics and Employee Performance IBM use of model classifiers to predict whether an employee is likely to quit or not
Paper, code, and data on "Commentary on 'Targeting with machine learning: An application to a tax rebate program in Italy'"
This is a rainfall prediction classification using R programming.
Build a Predictive model to forecast the sales of Rossmann store and uploaded the project to the challenge put forth by Rossmann Store
Predicting Survivability of Titanic Passenger
A simple R package for growing and plotting decision trees.
Using Decision Tree Algorithm on iris dataset and performing data analysis and prediction functions on it
CAP5615 Intro to Neural Networks class at FAU, Summer 2018
for the publication "A network approach to understanding interspecific interactions within a multi-species flock " (in prep)
My code (in R), submission files, and saved data for the challenge to predict house prices using advanced regression techniques (from the given data with around 80 features) in Kaggle. Read the README file for more details.
Add a description, image, and links to the decision-tree topic page so that developers can more easily learn about it.
To associate your repository with the decision-tree topic, visit your repo's landing page and select "manage topics."